* installing *source* package 'glmmTMB' ...
** using staged installation
** libs
using C++ compiler: 'g++.exe (GCC) 12.2.0'
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DTMBAD_FRAMEWORK -I'D:/RCompile/CRANpkg/lib/4.4/TMB/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c glmmTMB.cpp -o glmmTMB.o
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:397,
                 from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMB.hpp:83,
                 from glmmTMB.cpp:1:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:377:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:370:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:439:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from 'struct Eigen::internal::traits<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:92:71:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from 'struct Eigen::internal::traits<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:92:71:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:92:71:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:92:71:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:94:69:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:104:70:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:104:70:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:105:59:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:106:59:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:108:48:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:18:65:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:17:8:   required from 'struct tmbutils::vector<int>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:45:43:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:17:8:   required from 'struct tmbutils::vector<int>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:45:43:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/array.hpp:248:22:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Array<int, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Array<int, -1, 1>, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Reverse<Eigen::Array<int, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Reverse<Eigen::Array<int, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52:   required from 'class Eigen::Reverse<Eigen::Array<int, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/array.hpp:257:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:520:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse<Eigen::Array<int, -1, 1>, 2>':
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/array.hpp:257:27:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::ArrayBase<Eigen::Reverse<Eigen::Array<int, -1, 1>, 2> >::PacketScalar' {aka '__m128i'} [-Wignored-attributes]
   85 |     typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
      |                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:17:8:   required from 'struct tmbutils::vector<double>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vectorize.hpp:54:35:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convert.hpp:114:24:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convert.hpp:114:24:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:65:13:   required from 'class Eigen::PermutationBase<Eigen::PermutationMatrix<-1, -1, int> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:297:7:   required from 'class Eigen::PermutationMatrix<-1, -1, int>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:284:21:   required from 'class Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:503:1:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:503:1:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:503:1:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:528:1:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_convolve.hpp:8:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_convolve.hpp:8:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_convolve.hpp:8:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_convolve.hpp:8:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 3, 1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:22:1:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 3, 1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:22:1:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 2, 1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:30:1:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 2, 1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:30:1:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMB.hpp:87:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/simplicial_inverse_subset.hpp:7:46:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double>, 1> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double>, 1, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:186:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double>, 1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:42:26:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:42:56:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:42:64:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:42:70:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:563:19:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:563:47:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:566:17:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<int, 0, int> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<int, 0, int> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<int, 0, int>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/simplicial_inverse_subset.hpp:77:37:   required from 'struct Eigen::SimplicialInverseSubset<double>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1054:35:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::SparseMatrix<double>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::SparseMatrix<double>, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1082:26:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:101:8:   required from 'struct tmbutils::matrix<int>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:550:51:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<unsigned int, int>, const Eigen::Array<unsigned int, -1, 1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<unsigned int, int>, const Eigen::Array<unsigned int, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<unsigned int, int>, const Eigen::Array<unsigned int, -1, 1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<unsigned int, int>, const Eigen::Array<unsigned int, -1, 1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<unsigned int, int>, const Eigen::Array<unsigned int, -1, 1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Array<unsigned int, -1, 1, 0, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<unsigned int, int>, const Eigen::Array<unsigned int, -1, 1, 0, -1, 1> > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   required from 'struct Eigen::ArrayBase<Eigen::Array<unsigned int, -1, 1, 0, -1, 1> >::CastXpr<int>'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::ArrayBase<Eigen::Array<unsigned int, -1, 1, 0, -1, 1> >::CastXpr<NewType>::Type Eigen::ArrayBase<Eigen::Array<unsigned int, -1, 1, 0, -1, 1> >::cast() const [with NewType = int]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2324:32:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_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> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:25:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_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/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_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>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:25:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 1, 1, 0, 1, 1>'
distrib.h:40:3:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 1, 1, 0, 1, 1>'
distrib.h:40:3:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:129:36:   required from 'atomic::nestedTriangle<n>::nestedTriangle(tmbutils::vector<tmbutils::matrix<double> >) [with int n = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:129:36:   required from 'atomic::nestedTriangle<n>::nestedTriangle(tmbutils::vector<tmbutils::matrix<double> >) [with int n = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::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/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
glmmTMB.cpp:592:28:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_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> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_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>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
glmmTMB.cpp:900:13:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_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> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_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>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
glmmTMB.cpp:913:17:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/start_parallel.hpp:375:43:   required from 'Vector parallelADFun<Type>::forward(const Vector&) [with Vector = Eigen::Matrix<double, -1, 1>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2660:24:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/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/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convenience.hpp:49:23:   required from 'tmbutils::vector<Type> operator*(Eigen::SparseMatrix<Scalar>, tmbutils::vector<Type>) [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convenience.hpp:49:13:   required from 'tmbutils::vector<Type> operator*(Eigen::SparseMatrix<Scalar>, tmbutils::vector<Type>) [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convenience.hpp:49:32:   required from 'tmbutils::vector<Type> operator*(Eigen::SparseMatrix<Scalar>, tmbutils::vector<Type>) [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:30:21:   required from 'Type atomic::Block<Type>::norm() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:160:37:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:30:27:   required from 'Type atomic::Block<Type>::norm() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:160:37:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/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>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/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>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:31:47:   required from 'Type atomic::Block<Type>::norm() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:160:37:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:18:23:   required from 'atomic::Block<Type> atomic::Block<Type>::scale(Type) [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:165:29:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:25:29:   required from 'atomic::Block<Type> atomic::Block<Type>::addIdentity() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:168:45:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:36:36:   required from 'atomic::Block<Type> atomic::Block<Type>::inverse() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:180:33:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:445:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_convolve.hpp:8:57:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> > >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::SparseMatrix<double>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:42:76:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, int>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, int>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, int>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, int>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, int>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, int>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   required from 'struct Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >::CastXpr<int>'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >::CastXpr<NewType>::Type Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >::cast() const [with NewType = int]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convert.hpp:114:35:   required from 'tmbutils::vector<Type> asVector(SEXP) [with Type = int; SEXP = SEXPREC*]'
glmmTMB.cpp:580:3:   required from 'Type objective_function<Type>::operator()() [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:1277:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from 'Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::Array<int, -1, 1>; Scalar = int]'
glmmTMB.cpp:927:16:   required from 'Type objective_function<Type>::operator()() [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:1277:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:510:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   required from 'struct Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >::CastXpr<double>'
d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >::CastXpr<NewType>::Type Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >::cast() const [with NewType = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convert.hpp:114:35:   required from 'tmbutils::vector<Type> asVector(SEXP) [with Type = double; SEXP = SEXPREC*]'
glmmTMB.cpp:546:3:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:466:48:   required from 'void data_indicator<VT, Type>::fill(tmbutils::vector<Type>, SEXP) [with VT = tmbutils::vector<double>; Type = double; SEXP = SEXPREC*]'
glmmTMB.cpp:582:3:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/array.hpp:22:8:   required from 'struct tmbutils::array<double>'
glmmTMB.cpp:525:17:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convenience.hpp:43:12:   required from 'tmbutils::vector<Type> operator*(tmbutils::matrix<Type>, tmbutils::vector<Type>) [with Type = double]'
glmmTMB.cpp:594:13:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:599:56:   required from 'void report_stack<Type>::push(Vector_Matrix_Or_Array, const char*) [with Vector_Matrix_Or_Array = tmbutils::vector<double>; Type = double]'
glmmTMB.cpp:935:4:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
glmmTMB.cpp:293:23:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
glmmTMB.cpp:328:36:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::CwiseBinaryOp<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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, 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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, 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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, 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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, 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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
glmmTMB.cpp:328:25:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, 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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, 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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, 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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, 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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, 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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > > >'
glmmTMB.cpp:328:19:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
glmmTMB.cpp:451:23:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>'
glmmTMB.cpp:492:43:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
glmmTMB.cpp:500:44:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
glmmTMB.cpp:500:26:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
glmmTMB.cpp:501:50:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >'
glmmTMB.cpp:502:74:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>'
glmmTMB.cpp:502:46:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >'
glmmTMB.cpp:502:83:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Array<double, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Array<double, -1, 1>]'
glmmTMB.cpp:622:23:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/start_parallel.hpp:374:16:   required from 'Vector parallelADFun<Type>::forward(const Vector&) [with Vector = Eigen::Matrix<double, -1, 1>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2660:24:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:747:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:776:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:24:20:   required from 'atomic::Block<Type> atomic::Block<Type>::addIdentity() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:168:45:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<int, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<int, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<int, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<int, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<int, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/array.hpp:206:25:   required from 'tmbutils::array<Type> tmbutils::array<Type>::col(int) [with Type = TMBad::global::ad_aug]'
glmmTMB.cpp:255:38:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = TMBad::global::ad_aug]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = TMBad::global::ad_aug]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:1277:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, int>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:926:66:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double, int>*, std::vector<Eigen::Triplet<double, int>, std::allocator<Eigen::Triplet<double, int> > > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double, int>*, std::vector<Eigen::Triplet<double, int>, std::allocator<Eigen::Triplet<double, int> > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/spmat.hpp:24:22:   required from 'Eigen::SparseMatrix<Scalar> tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]'
glmmTMB.cpp:540:3:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/tmbutils_extra.hpp:10:7:   required from 'tmbutils::vector<Type> tmbutils::dnorm(vector<Type>, T1, T2, int) [with Type = double; T1 = double; T2 = int]'
glmmTMB.cpp:463:19:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/tmbutils_extra.hpp:10:13:   required from 'tmbutils::vector<Type> tmbutils::dnorm(vector<Type>, T1, T2, int) [with Type = double; T1 = double; T2 = int]'
glmmTMB.cpp:463:19:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/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::CwiseNullaryOp<Eigen::internal::scalar_constant_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/4.4/RcppEigen/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_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::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_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::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/tmbutils_extra.hpp:11:48:   required from 'tmbutils::vector<Type> tmbutils::dnorm(vector<Type>, T1, T2, int) [with Type = double; T1 = double; T2 = int]'
glmmTMB.cpp:463:19:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::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::CwiseBinaryOp<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::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::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::CwiseBinaryOp<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::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::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::CwiseBinaryOp<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::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/tmbutils_extra.hpp:11:37:   required from 'tmbutils::vector<Type> tmbutils::dnorm(vector<Type>, T1, T2, int) [with Type = double; T1 = double; T2 = int]'
glmmTMB.cpp:463:19:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:29:   required from 'Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<TMBad::global::ad_aug>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1176:24:   required from 'Type newton::log_determinant(const Eigen::SparseMatrix<Scalar>&, std::shared_ptr<jacobian_sparse_t<> >) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1376:25:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from 'class Eigen::Map<const Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:21:17:   required from 'Eigen::SparseMatrix<Scalar> pattern(const Eigen::SparseMatrix<OldType>&, std::vector<T>) [with NewType = double; OldType = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1178:64:   required from 'Type newton::log_determinant(const Eigen::SparseMatrix<Scalar>&, std::shared_ptr<jacobian_sparse_t<> >) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1376:25:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, 2>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<int, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, 2, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:21:17:   required from 'Eigen::SparseMatrix<Scalar> pattern(const Eigen::SparseMatrix<OldType>&, std::vector<T>) [with NewType = double; OldType = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1178:64:   required from 'Type newton::log_determinant(const Eigen::SparseMatrix<Scalar>&, std::shared_ptr<jacobian_sparse_t<> >) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1376:25:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:21:17:   required from 'Eigen::SparseMatrix<Scalar> pattern(const Eigen::SparseMatrix<OldType>&, std::vector<T>) [with NewType = double; OldType = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1178:64:   required from 'Type newton::log_determinant(const Eigen::SparseMatrix<Scalar>&, std::shared_ptr<jacobian_sparse_t<> >) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1376:25:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:12:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<TMBad::global::ad_aug, 1, int>; _Scalar = TMBad::global::ad_aug; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<TMBad::global::ad_aug, int>*, std::vector<Eigen::Triplet<TMBad::global::ad_aug, int>, std::allocator<Eigen::Triplet<TMBad::global::ad_aug, int> > > >; SparseMatrixType = Eigen::SparseMatrix<TMBad::global::ad_aug>; DupFunctor = scalar_sum_op<TMBad::global::ad_aug, TMBad::global::ad_aug>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<TMBad::global::ad_aug, int>*, std::vector<Eigen::Triplet<TMBad::global::ad_aug, int>, std::allocator<Eigen::Triplet<TMBad::global::ad_aug, int> > > >; _Scalar = TMBad::global::ad_aug; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/spmat.hpp:24:22:   required from 'Eigen::SparseMatrix<Scalar> tmbutils::asSparseMatrix(SEXP) [with Type = TMBad::global::ad_aug; SEXP = SEXPREC*]'
glmmTMB.cpp:540:3:   required from 'Type objective_function<Type>::operator()() [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:1277:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<int, -1, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_product_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<int, -1, 1> >; Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_product_op<int, int>; Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:487:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::prod() const [with Derived = Eigen::Array<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:620:39:   required from 'SEXPREC* report_stack<Type>::reportnames() [with Type = TMBad::global::ad_aug; SEXP = SEXPREC*]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:1280:36:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:93:   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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:949:7:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double, int>*, std::vector<Eigen::Triplet<double, int>, std::allocator<Eigen::Triplet<double, int> > > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double, int>*, std::vector<Eigen::Triplet<double, int>, std::allocator<Eigen::Triplet<double, int> > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/spmat.hpp:24:22:   required from 'Eigen::SparseMatrix<Scalar> tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]'
glmmTMB.cpp:540:3:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/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/4.4/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> > >'
D:/RCompile/CRANpkg/lib/4.4/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> > >'
D:/RCompile/CRANpkg/lib/4.4/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>'
D:/RCompile/CRANpkg/lib/4.4/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> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:146:21:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:147:34:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/array.hpp:302:3:   required from 'tmbutils::array<Type> tmbutils::array<Type>::operator/(T) [with T = tmbutils::vector<double>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:1030:23:   required from 'density::VECSCALE_t<distribution>::scalartype density::VECSCALE_t<distribution>::operator()(arraytype) [with distribution = density::UNSTRUCTURED_CORR_t<double>; scalartype = double; arraytype = tmbutils::array<double>]'
glmmTMB.cpp:291:22:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/array.hpp:302:3:   required from 'tmbutils::array<Type> tmbutils::array<Type>::operator/(T) [with T = double; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:970:23:   required from 'density::SCALE_t<distribution>::scalartype density::SCALE_t<distribution>::operator()(arraytype) [with distribution = density::MVNORM_t<double>; scalartype = double; arraytype = tmbutils::array<double>]'
glmmTMB.cpp:449:22:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:32:29:   required from 'Type atomic::Block<Type>::norm() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:160:37:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:21:17:   required from 'Eigen::SparseMatrix<Scalar> pattern(const Eigen::SparseMatrix<OldType>&, std::vector<T>) [with NewType = double; OldType = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1178:64:   required from 'Type newton::log_determinant(const Eigen::SparseMatrix<Scalar>&, std::shared_ptr<jacobian_sparse_t<> >) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1376:25:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<int, -1, 1>; Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<int, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:932:15:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<TMBad::global::ad_aug, int>*, std::vector<Eigen::Triplet<TMBad::global::ad_aug, int>, std::allocator<Eigen::Triplet<TMBad::global::ad_aug, int> > > >; SparseMatrixType = Eigen::SparseMatrix<TMBad::global::ad_aug>; DupFunctor = scalar_sum_op<TMBad::global::ad_aug, TMBad::global::ad_aug>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:996:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<TMBad::global::ad_aug, int>*, std::vector<Eigen::Triplet<TMBad::global::ad_aug, int>, std::allocator<Eigen::Triplet<TMBad::global::ad_aug, int> > > >; _Scalar = TMBad::global::ad_aug; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/spmat.hpp:24:22:   required from 'Eigen::SparseMatrix<Scalar> tmbutils::asSparseMatrix(SEXP) [with Type = TMBad::global::ad_aug; SEXP = SEXPREC*]'
glmmTMB.cpp:540:3:   required from 'Type objective_function<Type>::operator()() [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:1277:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::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>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:18:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:663:15:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>; ConstCholMatrixPtr = const Eigen::SparseMatrix<double>*; CholMatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:200:7:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:366:36:   required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:89:24:   required from 'Eigen::SimplicialCholeskyBase<Derived>::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:349:22:   required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1195:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:36:14:   required from 'void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:65:42:   required from 'void Eigen::AMDOrdering<StorageIndex>::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix<double>; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:663:15:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>; ConstCholMatrixPtr = const Eigen::SparseMatrix<double>*; CholMatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:200:7:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:366:36:   required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:89:24:   required from 'Eigen::SimplicialCholeskyBase<Derived>::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:349:22:   required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1195:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::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>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:18:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:496:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:110:68:   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, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, 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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from 'static void Eigen::internal::generic_product_impl<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>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::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>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:18:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/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/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::SolverStorage>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:106:22:   required from 'tmbutils::matrix<Type>::matrix(T1) [with T1 = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:36:14:   required from 'atomic::Block<Type> atomic::Block<Type>::inverse() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:180:33:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35:   required from 'Eigen::Index Eigen::SparseCompressedBase<Derived>::nonZeros() const [with Derived = Eigen::SparseMatrix<TMBad::global::ad_aug>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1176:24:   required from 'Type newton::log_determinant(const Eigen::SparseMatrix<Scalar>&, std::shared_ptr<jacobian_sparse_t<> >) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1376:25:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> > >; Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/array.hpp:248:26:   required from 'int tmbutils::array<Type>::index(tmbutils::vector<int>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/array.hpp:221:38:   required from 'Type& tmbutils::array<Type>::operator()(int, int) [with Type = TMBad::global::ad_aug]'
glmmTMB.cpp:267:25:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = TMBad::global::ad_aug]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = TMBad::global::ad_aug]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:1277:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>; OtherDerived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:171:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:24:22:   required from 'tmbutils::vector<Type>::vector(T1) [with T1 = Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>; Type = double]'
glmmTMB.cpp:526:18:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:106:22:   required from 'tmbutils::matrix<Type>::matrix(T1) [with T1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:276:16:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   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> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:153:37:   required from 'density::MVNORM_t<scalartype_>::scalartype density::MVNORM_t<scalartype_>::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:157:53:   required from 'density::MVNORM_t<scalartype_>::scalartype density::MVNORM_t<scalartype_>::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:1030:21:   required from 'density::VECSCALE_t<distribution>::scalartype density::VECSCALE_t<distribution>::operator()(arraytype) [with distribution = density::UNSTRUCTURED_CORR_t<double>; scalartype = double; arraytype = tmbutils::array<double>]'
glmmTMB.cpp:291:22:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; OtherDerived = Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:171:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:24:22:   required from 'tmbutils::vector<Type>::vector(T1) [with T1 = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>; Type = double]'
glmmTMB.cpp:492:20:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15:   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 = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<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, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = 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>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, 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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from 'static void Eigen::internal::generic_product_impl<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>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::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>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:18:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13:   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 = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14:   required from 'void Eigen::internal::gemm_functor<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, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = 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>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, 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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9:   required from 'static void Eigen::internal::generic_product_impl<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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20:   required from 'static void Eigen::internal::generic_product_impl<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>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::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>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:18:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/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>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/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>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:171:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:24:22:   required from 'tmbutils::vector<Type>::vector(T1) [with T1 = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:31:20:   required from 'Type atomic::Block<Type>::norm() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:160:37:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:171:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:24:22:   required from 'tmbutils::vector<Type>::vector(T1) [with T1 = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:31:20:   required from 'Type atomic::Block<Type>::norm() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:160:37:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<int, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<int, -1, 1>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, 1>, -1, 1, false>; Functor = assign_op<int, int>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<int, -1, 1>; SrcXprType = Eigen::Block<Eigen::Array<int, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<int, int>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<int, -1, 1>; Src = Eigen::Block<Eigen::Array<int, -1, 1>, -1, 1, false>; Func = assign_op<int, int>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<int, -1, 1>; Src = Eigen::Block<Eigen::Array<int, -1, 1>, -1, 1, false>; Func = assign_op<int, int>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<int, -1, 1>; Src = Eigen::Block<Eigen::Array<int, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:33:26:   required from 'tmbutils::vector<Type>& tmbutils::vector<Type>::operator=(const T1&) [with T1 = Eigen::VectorBlock<Eigen::Array<int, -1, 1>, -1>; Type = int]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/array.hpp:206:13:   required from 'tmbutils::array<Type> tmbutils::array<Type>::col(int) [with Type = TMBad::global::ad_aug]'
glmmTMB.cpp:255:38:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = TMBad::global::ad_aug]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = TMBad::global::ad_aug]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:1277:6:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:106:22:   required from 'tmbutils::matrix<Type>::matrix(T1) [with T1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:276:16:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:499:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Dest = Eigen::Array<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Array<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Array<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Array<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Array<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:171:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:24:22:   required from 'tmbutils::vector<Type>::vector(T1) [with T1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convenience.hpp:43:12:   required from 'tmbutils::vector<Type> operator*(tmbutils::matrix<Type>, tmbutils::vector<Type>) [with Type = double]'
glmmTMB.cpp:594:13:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:171:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:24:22:   required from 'tmbutils::vector<Type>::vector(T1) [with T1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convenience.hpp:43:12:   required from 'tmbutils::vector<Type> operator*(tmbutils::matrix<Type>, tmbutils::vector<Type>) [with Type = double]'
glmmTMB.cpp:594:13:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:171:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:24:22:   required from 'tmbutils::vector<Type>::vector(T1) [with T1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convenience.hpp:43:12:   required from 'tmbutils::vector<Type> operator*(tmbutils::matrix<Type>, tmbutils::vector<Type>) [with Type = double]'
glmmTMB.cpp:594:13:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Dest = Eigen::Array<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:171:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:24:22:   required from 'tmbutils::vector<Type>::vector(T1) [with T1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convenience.hpp:43:12:   required from 'tmbutils::vector<Type> operator*(tmbutils::matrix<Type>, tmbutils::vector<Type>) [with Type = double]'
glmmTMB.cpp:594:13:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<int, 0, int>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<int, 0, int> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<int, 0, int> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20:   required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<int, 0, int>; SrcXprType = Eigen::SparseMatrix<int, 0, int>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<int, 0, int>; SrcXprType = Eigen::SparseMatrix<int, 0, int>; Functor = Eigen::internal::assign_op<int, int>; typename SrcXprType::Scalar = int; typename DstXprType::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix<int, 0, int>; Src = Eigen::SparseMatrix<int, 0, int>; Func = assign_op<int, int>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:842:27:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2198:41:   required from 'std::vector<T> TMBad::global::Complete<OperatorBase>::operator()(const std::vector<T>&) [with T = TMBad::global::ad_aug; OperatorBase = newton::LogDetOperator<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1179:27:   required from 'Type newton::log_determinant(const Eigen::SparseMatrix<Scalar>&, std::shared_ptr<jacobian_sparse_t<> >) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1376:25:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:145:63:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:146:9:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:595:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:146:9:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Dest = Eigen::Array<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Array<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Array<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Array<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Array<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:171:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:24:22:   required from 'tmbutils::vector<Type>::vector(T1) [with T1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convenience.hpp:43:12:   required from 'tmbutils::vector<Type> operator*(tmbutils::matrix<Type>, tmbutils::vector<Type>) [with Type = double]'
glmmTMB.cpp:594:13:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::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>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:18:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::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>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:18:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:146:9:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18:   required from 'void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, -1>; DstType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:146:9:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:371:
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Dest = Eigen::Array<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Array<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Array<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Array<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:171:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:24:22:   required from 'tmbutils::vector<Type>::vector(T1) [with T1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/convenience.hpp:43:12:   required from 'tmbutils::vector<Type> operator*(tmbutils::matrix<Type>, tmbutils::vector<Type>) [with Type = double]'
glmmTMB.cpp:594:13:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double>; int Direction = 1; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:171:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:24:22:   required from 'tmbutils::vector<Type>::vector(T1) [with T1 = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:31:20:   required from 'Type atomic::Block<Type>::norm() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:160:37:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   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, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; ResultType = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double>; int Direction = 1; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:171:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:24:22:   required from 'tmbutils::vector<Type>::vector(T1) [with T1 = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:31:20:   required from 'Type atomic::Block<Type>::norm() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:160:37:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/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> > > >'
D:/RCompile/CRANpkg/lib/4.4/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> > > >'
D:/RCompile/CRANpkg/lib/4.4/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>'
D:/RCompile/CRANpkg/lib/4.4/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> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:39:   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 Eigen::PartialPivLU<MatrixType>::Scalar = double; typename DstXprType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:106:22:   required from 'tmbutils::matrix<Type>::matrix(T1) [with T1 = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:36:14:   required from 'atomic::Block<Type> atomic::Block<Type>::inverse() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:180:33:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<int, -1, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::internal::redux_evaluator<Eigen::Matrix<int, -1, 1> >; Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Matrix<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<int, -1, 1>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h:467:24:   required from 'void Eigen::internal::permute_symm_to_fullsymm(const MatrixType&, Eigen::SparseMatrix<typename MatrixType::Scalar, DestOrder, typename MatrixType::StorageIndex>&, const typename MatrixType::StorageIndex*) [with int Mode = 1; MatrixType = Eigen::SparseMatrix<double>; int DestOrder = 0; typename MatrixType::StorageIndex = int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h:231:57:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::SparseSelfAdjoint2Sparse>::run(Eigen::SparseMatrix<DestScalar, StorageOrder, typename DstXprType::StorageIndex>&, const SrcXprType&, const AssignOpType&) [with DestScalar = double; int StorageOrder = 0; DstXprType = Eigen::SparseMatrix<double>; SrcXprType = Eigen::SparseSelfAdjointView<const Eigen::SparseMatrix<double>, 1>; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::StorageIndex = int; AssignOpType = Eigen::internal::assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:660:9:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>; ConstCholMatrixPtr = const Eigen::SparseMatrix<double>*; CholMatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:200:7:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:366:36:   required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:89:24:   required from 'Eigen::SimplicialCholeskyBase<Derived>::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:349:22:   required from 'Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1195:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of '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<Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required 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<Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; Rhs = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >; Func = generic_product_impl<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Src = Eigen::ArrayWrapper<const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:220:18:   required from 'Derived& Eigen::ArrayBase<Derived>::operator/=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >; Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >]'
glmmTMB.cpp:502:25:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:503:1:   required from 'CppAD::vector<TMBad::global::ad_aug> atomic::logdet(const CppAD::vector<TMBad::global::ad_aug>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17:   required from 'void Eigen::DenseBase<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::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'void density::MVNORM_t<scalartype_>::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:191:3:   required from 'density::MVNORM_t<scalartype_>::vectortype density::MVNORM_t<scalartype_>::simulate() [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:293:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double>; int Direction = 1; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:171:31:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:24:22:   required from 'tmbutils::vector<Type>::vector(T1) [with T1 = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double>, 1>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:31:20:   required from 'Type atomic::Block<Type>::norm() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:160:37:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19:   required from 'static void Eigen::internal::triangular_solve_matrix<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 = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1981 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:160:21:   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 = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<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 = 6]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<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 = 6]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25:   required from 'void Eigen::LDLT<MatrixType, UpLo>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, -1>; DstType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:146:9:   required from 'void density::MVNORM_t<scalartype_>::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:283:19:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1847 |             PacketBlock<Packet> kernel;
      |                                 ^~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/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/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   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> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<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::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:106:22:   required from 'tmbutils::matrix<Type>::matrix(T1) [with T1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:276:16:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:106:22:   required from 'tmbutils::matrix<Type>::matrix(T1) [with T1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:276:16:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::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/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:381:29:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:106:22:   required from 'tmbutils::matrix<Type>::matrix(T1) [with T1 = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/density.hpp:276:16:   required from 'density::UNSTRUCTURED_CORR_t<scalartype_>::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector<double>]'
glmmTMB.cpp:288:40:   required from 'Type termwise_nll(tmbutils::array<Type>&, tmbutils::vector<Type>, per_term_info<Type>&, bool) [with Type = double]'
glmmTMB.cpp:527:24:   required from 'Type allterms_nll(tmbutils::vector<Type>&, tmbutils::vector<Type>, tmbutils::vector<per_term_info<Type> >&, bool) [with Type = double]'
glmmTMB.cpp:588:39:   required from 'Type objective_function<Type>::operator()() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmb_core.hpp:2031:7:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:106:22:   required from 'tmbutils::matrix<Type>::matrix(T1) [with T1 = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:36:14:   required from 'atomic::Block<Type> atomic::Block<Type>::inverse() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:180:33:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<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::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<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::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<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::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<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::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/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<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/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<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/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<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:168:27:   required from 'void TMBad::MatMul<XT, YT, ZT, UP>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::MatMul<false, false, false, false> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2510:17:   required from 'TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul<false, false, false, false>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/ad_blas.hpp:76:58:   required from 'void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map<Eigen::Matrix<global::ad_aug, -1, -1> >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix<global::ad_aug, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/TMBad.cpp:14:37:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:636:16:   required from 'Type atomic::logdet(tmbutils::matrix<Type>) [with Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1208:24:   required from 'Type newton::log_determinant(const matrix<T>&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr<jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1290:27:   required from 'Type newton::NewtonSolver<Functor, Type, Hessian_Type>::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1385:23:   required from 'Type newton::Laplace(Functor&, Eigen::Array<Type, -1, 1>&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1415:18:   required from 'ADFun newton::slice<ADFun>::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1423:63:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:106:22:   required from 'tmbutils::matrix<Type>::matrix(T1) [with T1 = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:36:14:   required from 'atomic::Block<Type> atomic::Block<Type>::inverse() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:180:33:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/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/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::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>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/vector.hpp:106:22:   required from 'tmbutils::matrix<Type>::matrix(T1) [with T1 = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:36:14:   required from 'atomic::Block<Type> atomic::Block<Type>::inverse() [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:180:33:   required from 'matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/expm.hpp:192:52:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:30:1:   required from 'void atomic::bessel_kOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::bessel_kOp<1, 2, 2, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:30:1:   required from 'void atomic::bessel_kOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::bessel_kOp<1, 2, 2, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:30:1:   required from 'void atomic::bessel_kOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::bessel_kOp<1, 2, 2, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:30:1:   required from 'void atomic::bessel_kOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 0; int ninput = 2; int noutput = 1; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::bessel_kOp<0, 2, 1, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::bessel_kOp<0, 2, 1, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:528:1:   required from 'void atomic::invpdOp<dummy>::reverse(TMBad::ReverseArgs<Type>) [with Type = double; dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<atomic::invpdOp<> > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::invpdOp<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:528:1:   required from 'void atomic::invpdOp<dummy>::reverse(TMBad::ReverseArgs<Type>) [with Type = double; dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<atomic::invpdOp<> > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::invpdOp<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>'
distrib.h:40:3:   required from 'void glmmtmb::logspace_gammaOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 1; int ninput = 1; int noutput = 1; long int mask = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<glmmtmb::logspace_gammaOp<1, 1, 1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = glmmtmb::logspace_gammaOp<1, 1, 1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/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> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1027:20:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::reverse(TMBad::ReverseArgs<Type>&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_dense_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7:   required from 'class Eigen::InverseImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:473:1:   required from 'CppAD::vector<double> atomic::matinv(const CppAD::vector<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:503:1:   required from 'void atomic::logdetOp<dummy>::reverse(TMBad::ReverseArgs<Type>) [with Type = double; dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<atomic::logdetOp<> > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::logdetOp<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:84:17:   required from 'newton::vector<Type>::vector(const std::vector<T>&) [with Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1010:20:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_dense_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:11:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_dense_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:130:40:   required from 'newton::vector<double> newton::HessianSolveVector<Hessian_Type>::solve(const newton::vector<double>&, const newton::vector<double>&) [with Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:150:33:   required from 'void newton::HessianSolveVector<Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::HessianSolveVector<newton::jacobian_sparse_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::HessianSolveVector<newton::jacobian_sparse_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::SparseMatrix<double>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::SparseMatrix<double>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:916:51:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:600:15:   required from 'newton::vector<T> newton::jacobian_sparse_plus_lowrank_t<dummy>::solve(std::shared_ptr<newton::jacobian_sparse_plus_lowrank_t<> >, const newton::vector<T>&, const newton::vector<T>&) [with T = double; dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1027:38:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::reverse(TMBad::ReverseArgs<Type>&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/simplicial_inverse_subset.hpp:152:11:   required from 'Eigen::SimplicialInverseSubset<T>::SpMat Eigen::SimplicialInverseSubset<T>::operator()(SpMat) [with T = double; SpMat = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1139:18:   required from 'void newton::LogDetOperator<Factorization>::reverse(TMBad::ReverseArgs<double>&) [with Factorization = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::LogDetOperator<> > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = newton::LogDetOperator<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/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/4.4/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> > >'
D:/RCompile/CRANpkg/lib/4.4/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> > >'
D:/RCompile/CRANpkg/lib/4.4/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>'
D:/RCompile/CRANpkg/lib/4.4/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> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:236:22:   required from 'newton::matrix<double> newton::jacobian_dense_t<Factorization>::llt_solve(const newton::matrix<double>&, const newton::matrix<double>&) [with Factorization = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_dense_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:336:22:   required from 'newton::matrix<double> newton::jacobian_sparse_t<Factorization>::llt_solve(const Eigen::SparseMatrix<double>&, const newton::matrix<double>&) [with Factorization = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:132:51:   required from 'newton::vector<double> newton::HessianSolveVector<Hessian_Type>::solve(const newton::vector<double>&, const newton::vector<double>&) [with Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:150:33:   required from 'void newton::HessianSolveVector<Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::HessianSolveVector<newton::jacobian_sparse_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::HessianSolveVector<newton::jacobian_sparse_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:562:38:   required from 'newton::matrix<double> newton::jacobian_sparse_plus_lowrank_t<dummy>::llt_solve(const sparse_plus_lowrank<double>&, const newton::matrix<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:562:56:   required from 'newton::matrix<double> newton::jacobian_sparse_plus_lowrank_t<dummy>::llt_solve(const sparse_plus_lowrank<double>&, const newton::matrix<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::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/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   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>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:565:74:   required from 'newton::matrix<double> newton::jacobian_sparse_plus_lowrank_t<dummy>::llt_solve(const sparse_plus_lowrank<double>&, const newton::matrix<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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/4.4/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:565:52:   required from 'newton::matrix<double> newton::jacobian_sparse_plus_lowrank_t<dummy>::llt_solve(const sparse_plus_lowrank<double>&, const newton::matrix<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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/4.4/TMB/include/tmbutils/newton.hpp:565:34:   required from 'newton::matrix<double> newton::jacobian_sparse_plus_lowrank_t<dummy>::llt_solve(const sparse_plus_lowrank<double>&, const newton::matrix<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<int, 0, int>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<int, 0, int>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<int, 0, int>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from 'class Eigen::Map<const Eigen::SparseMatrix<int, 0, int>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/simplicial_inverse_subset.hpp:83:14:   required from 'void Eigen::SimplicialInverseSubset<T>::init_transpose(SpMat) [with T = double; SpMat = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/simplicial_inverse_subset.hpp:94:5:   required from 'Eigen::SimplicialInverseSubset<T>::SpMat Eigen::SimplicialInverseSubset<T>::chol2inv() [with T = double; SpMat = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/simplicial_inverse_subset.hpp:150:15:   required from 'Eigen::SimplicialInverseSubset<T>::SpMat Eigen::SimplicialInverseSubset<T>::operator()(SpMat) [with T = double; SpMat = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1139:18:   required from 'void newton::LogDetOperator<Factorization>::reverse(TMBad::ReverseArgs<double>&) [with Factorization = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::LogDetOperator<> > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = newton::LogDetOperator<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<int, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<int, 0, int> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<int, 0, int>, 1024>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<Eigen::SparseMatrix<int, 0, int>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::SparseMatrix<int, 0, int> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/simplicial_inverse_subset.hpp:90:23:   required from 'void Eigen::SimplicialInverseSubset<T>::init_transpose(SpMat) [with T = double; SpMat = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/simplicial_inverse_subset.hpp:94:5:   required from 'Eigen::SimplicialInverseSubset<T>::SpMat Eigen::SimplicialInverseSubset<T>::chol2inv() [with T = double; SpMat = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/simplicial_inverse_subset.hpp:150:15:   required from 'Eigen::SimplicialInverseSubset<T>::SpMat Eigen::SimplicialInverseSubset<T>::operator()(SpMat) [with T = double; SpMat = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1139:18:   required from 'void newton::LogDetOperator<Factorization>::reverse(TMBad::ReverseArgs<double>&) [with Factorization = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::LogDetOperator<> > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = newton::LogDetOperator<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<int, 0, int>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<int, 0, int>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<int, 0, int>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseMatrix<int, 0, int>, 0, Eigen::Stride<0, 0> >; _Scalar = int; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/simplicial_inverse_subset.hpp:82:39:   required from 'void Eigen::SimplicialInverseSubset<T>::init_transpose(SpMat) [with T = double; SpMat = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/simplicial_inverse_subset.hpp:94:5:   required from 'Eigen::SimplicialInverseSubset<T>::SpMat Eigen::SimplicialInverseSubset<T>::chol2inv() [with T = double; SpMat = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/simplicial_inverse_subset.hpp:150:15:   required from 'Eigen::SimplicialInverseSubset<T>::SpMat Eigen::SimplicialInverseSubset<T>::operator()(SpMat) [with T = double; SpMat = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1139:18:   required from 'void newton::LogDetOperator<Factorization>::reverse(TMBad::ReverseArgs<double>&) [with Factorization = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::LogDetOperator<> > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = newton::LogDetOperator<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:894:36:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_dense_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 0>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Matrix<double, 2, 1>, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:30:1:   required from 'void atomic::bessel_kOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::bessel_kOp<1, 2, 2, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::bessel_kOp<1, 2, 2, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:30:1:   required from 'void atomic::bessel_kOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 0; int ninput = 2; int noutput = 1; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::bessel_kOp<0, 2, 1, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::bessel_kOp<0, 2, 1, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>; Derived = Eigen::Matrix<double, 1, 1, 0, 1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]'
distrib.h:40:3:   required from 'void glmmtmb::logspace_gammaOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 1; int ninput = 1; int noutput = 1; long int mask = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<glmmtmb::logspace_gammaOp<1, 1, 1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = glmmtmb::logspace_gammaOp<1, 1, 1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/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::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>; Derived = Eigen::Matrix<double, 1, 1, 0, 1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]'
distrib.h:40:3:   required from 'void glmmtmb::logspace_gammaOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 1; int ninput = 1; int noutput = 1; long int mask = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<glmmtmb::logspace_gammaOp<1, 1, 1, 1> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = glmmtmb::logspace_gammaOp<1, 1, 1, 1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:165:20:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:336:22:   required from 'newton::matrix<double> newton::jacobian_sparse_t<Factorization>::llt_solve(const Eigen::SparseMatrix<double>&, const newton::matrix<double>&) [with Factorization = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:132:51:   required from 'newton::vector<double> newton::HessianSolveVector<Hessian_Type>::solve(const newton::vector<double>&, const newton::vector<double>&) [with Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:150:33:   required from 'void newton::HessianSolveVector<Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::HessianSolveVector<newton::jacobian_sparse_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::HessianSolveVector<newton::jacobian_sparse_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:230:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:336:22:   required from 'newton::matrix<double> newton::jacobian_sparse_t<Factorization>::llt_solve(const Eigen::SparseMatrix<double>&, const newton::matrix<double>&) [with Factorization = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:132:51:   required from 'newton::vector<double> newton::HessianSolveVector<Hessian_Type>::solve(const newton::vector<double>&, const newton::vector<double>&) [with Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:150:33:   required from 'void newton::HessianSolveVector<Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::HessianSolveVector<newton::jacobian_sparse_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::HessianSolveVector<newton::jacobian_sparse_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:173:46:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:336:22:   required from 'newton::matrix<double> newton::jacobian_sparse_t<Factorization>::llt_solve(const Eigen::SparseMatrix<double>&, const newton::matrix<double>&) [with Factorization = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:132:51:   required from 'newton::vector<double> newton::HessianSolveVector<Hessian_Type>::solve(const newton::vector<double>&, const newton::vector<double>&) [with Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:150:33:   required from 'void newton::HessianSolveVector<Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::HessianSolveVector<newton::jacobian_sparse_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::HessianSolveVector<newton::jacobian_sparse_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 2> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:186:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:176:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.4/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::SimplicialLLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:336:22:   required from 'newton::matrix<double> newton::jacobian_sparse_t<Factorization>::llt_solve(const Eigen::SparseMatrix<double>&, const newton::matrix<double>&) [with Factorization = Eigen::SimplicialLLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:132:51:   required from 'newton::vector<double> newton::HessianSolveVector<Hessian_Type>::solve(const newton::vector<double>&, const newton::vector<double>&) [with Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:150:33:   required from 'void newton::HessianSolveVector<Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Hessian_Type = newton::jacobian_sparse_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::HessianSolveVector<newton::jacobian_sparse_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::HessianSolveVector<newton::jacobian_sparse_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:562:27:   required from 'newton::matrix<double> newton::jacobian_sparse_plus_lowrank_t<dummy>::llt_solve(const sparse_plus_lowrank<double>&, const newton::matrix<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:565:27:   required from 'newton::matrix<double> newton::jacobian_sparse_plus_lowrank_t<dummy>::llt_solve(const sparse_plus_lowrank<double>&, const newton::matrix<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:565:27:   required from 'newton::matrix<double> newton::jacobian_sparse_plus_lowrank_t<dummy>::llt_solve(const sparse_plus_lowrank<double>&, const newton::matrix<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:562:27:   required from 'newton::matrix<double> newton::jacobian_sparse_plus_lowrank_t<dummy>::llt_solve(const sparse_plus_lowrank<double>&, const newton::matrix<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:562:27:   required from 'newton::matrix<double> newton::jacobian_sparse_plus_lowrank_t<dummy>::llt_solve(const sparse_plus_lowrank<double>&, const newton::matrix<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::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/4.4/RcppEigen/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> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/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> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::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> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:562:27:   required from 'newton::matrix<double> newton::jacobian_sparse_plus_lowrank_t<dummy>::llt_solve(const sparse_plus_lowrank<double>&, const newton::matrix<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:473:1:   required from 'CppAD::vector<double> atomic::matinv(const CppAD::vector<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:503:1:   required from 'void atomic::logdetOp<dummy>::reverse(TMBad::ReverseArgs<Type>) [with Type = double; dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<atomic::logdetOp<> > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::logdetOp<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/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/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:562:27:   required from 'newton::matrix<double> newton::jacobian_sparse_plus_lowrank_t<dummy>::llt_solve(const sparse_plus_lowrank<double>&, const newton::matrix<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 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]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:992:18:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:473:1:   required from 'CppAD::vector<double> atomic::matinv(const CppAD::vector<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/atomic_math.hpp:503:1:   required from 'void atomic::logdetOp<dummy>::reverse(TMBad::ReverseArgs<Type>) [with Type = double; dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<atomic::logdetOp<> > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::logdetOp<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::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/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:565:27:   required from 'newton::matrix<double> newton::jacobian_sparse_plus_lowrank_t<dummy>::llt_solve(const sparse_plus_lowrank<double>&, const newton::matrix<double>&) [with dummy = void]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:937:33:   required from 'const char* newton::NewtonOperator<Functor, Hessian_Type>::newton_iterate(newton::vector<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:1011:5:   required from 'void newton::NewtonOperator<Functor, Hessian_Type>::forward(TMBad::ForwardArgs<double>&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1717:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::forward(TMBad::ForwardArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:57:   required from 'void TMBad::global::Complete<OperatorBase>::forward(TMBad::ForwardArgs<double>&) [with OperatorBase = newton::NewtonOperator<newton::slice<>, newton::jacobian_sparse_plus_lowrank_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2133:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 4, 0, 2, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 4, 0, 2, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 4, 0, 2, 4>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:82:1:   required from 'void atomic::logspace_subOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::logspace_subOp<2, 2, 4, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::logspace_subOp<2, 2, 4, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 4, 0, 2, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 4, 0, 2, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 4, 0, 2, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 4, 0, 2, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 4, 0, 2, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 4, 0, 2, 4> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 4, 0, 2, 4>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:82:1:   required from 'void atomic::logspace_subOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::logspace_subOp<2, 2, 4, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::logspace_subOp<2, 2, 4, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:82:1:   required from 'void atomic::logspace_subOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::logspace_subOp<2, 2, 4, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::logspace_subOp<2, 2, 4, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:222:57:   required from 'newton::vector<T> newton::jacobian_dense_t<Factorization>::crossprod(const newton::vector<T>&, const newton::vector<T>&) [with T = double; Factorization = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:163:45:   required from 'void newton::HessianSolveVector<Hessian_Type>::reverse(TMBad::ReverseArgs<Type>&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::HessianSolveVector<newton::jacobian_dense_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = newton::HessianSolveVector<newton::jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:222:35:   required from 'newton::vector<T> newton::jacobian_dense_t<Factorization>::crossprod(const newton::vector<T>&, const newton::vector<T>&) [with T = double; Factorization = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:163:45:   required from 'void newton::HessianSolveVector<Hessian_Type>::reverse(TMBad::ReverseArgs<Type>&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::HessianSolveVector<newton::jacobian_dense_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = newton::HessianSolveVector<newton::jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:222:67:   required from 'newton::vector<T> newton::jacobian_dense_t<Factorization>::crossprod(const newton::vector<T>&, const newton::vector<T>&) [with T = double; Factorization = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:163:45:   required from 'void newton::HessianSolveVector<Hessian_Type>::reverse(TMBad::ReverseArgs<Type>&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::HessianSolveVector<newton::jacobian_dense_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = newton::HessianSolveVector<newton::jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 0>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 2, 4, 0, 2, 4>, Eigen::Matrix<double, 4, 1>, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:82:1:   required from 'void atomic::logspace_subOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::logspace_subOp<2, 2, 4, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::logspace_subOp<2, 2, 4, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required 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::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >; Func = generic_product_impl<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:93:54:   required from 'newton::matrix<Type>::matrix(const Eigen::ArrayBase<OtherDerived>&) [with Derived = Eigen::ArrayWrapper<const Eigen::Product<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0> >; Type = double]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:222:15:   required from 'newton::vector<T> newton::jacobian_dense_t<Factorization>::crossprod(const newton::vector<T>&, const newton::vector<T>&) [with T = double; Factorization = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tmbutils/newton.hpp:163:45:   required from 'void newton::HessianSolveVector<Hessian_Type>::reverse(TMBad::ReverseArgs<Type>&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<newton::HessianSolveVector<newton::jacobian_dense_t<> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = newton::HessianSolveVector<newton::jacobian_dense_t<> >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 1, 0, 8, 1>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:30:1:   required from 'void atomic::bessel_kOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::bessel_kOp<3, 2, 8, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::bessel_kOp<3, 2, 8, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 8, 0, 2, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 8, 0, 2, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 8, 0, 2, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 8, 0, 2, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 8, 0, 2, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 8, 0, 2, 8> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 8, 0, 2, 8>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:30:1:   required from 'void atomic::bessel_kOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::bessel_kOp<3, 2, 8, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::bessel_kOp<3, 2, 8, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:30:1:   required from 'void atomic::bessel_kOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::bessel_kOp<3, 2, 8, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::bessel_kOp<3, 2, 8, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 2, 8, 0, 2, 8>, Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/tiny_ad/atomic.hpp:30:1:   required from 'void atomic::bessel_kOp<order, ninput, noutput, mask>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:1721:28:   required from 'void TMBad::global::AddForwardMarkReverseMark<OperatorBase>::reverse(TMBad::ReverseArgs<Type>&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement<TMBad::global::AddDependencies<TMBad::global::AddInputSizeOutputSize<atomic::bessel_kOp<3, 2, 8, 9> > > >]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:57:   required from 'void TMBad::global::Complete<OperatorBase>::reverse(TMBad::ReverseArgs<double>&) [with OperatorBase = atomic::bessel_kOp<3, 2, 8, 9>]'
D:/RCompile/CRANpkg/lib/4.4/TMB/include/TMBad/global.hpp:2134:10:   required from here
D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DTMBAD_FRAMEWORK -I'D:/RCompile/CRANpkg/lib/4.4/TMB/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c utils.cpp -o utils.o
g++ -std=gnu++17 -shared -s -static-libgcc -o glmmTMB.dll tmp.def glmmTMB.o utils.o -fopenmp -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR
"D:/RCompile/recent/R/bin/x64/Rscript" -e "cat(as.character(packageVersion('TMB')), '\n', sep="", file='../inst/TMB-version')"
"D:/RCompile/recent/R/bin/x64/Rscript" -e "cat(as.character(packageVersion('Matrix')), '\n', sep="", file='../inst/Matrix-version')"
installing to d:/RCompile/CRANincoming/R-devel/lib/00LOCK-glmmTMB/00new/glmmTMB/libs/x64
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (glmmTMB)