* installing *source* package 'galamm' ...
** this is package 'galamm' version '0.2.2'
** using staged installation
** libs
using C++ compiler: 'g++.exe (GCC) 14.2.0'
using C++17
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"      -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c RcppExports.cpp -o RcppExports.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from 'class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
   64 |         T obj ;
      |           ^~~
RcppExports.cpp:20:85:   required from here
   20 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd> >::type y(ySEXP);
      |                                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from 'class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
   64 |         T obj ;
      |           ^~~
RcppExports.cpp:20:85:   required from here
   20 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd> >::type y(ySEXP);
      |                                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from 'class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
   64 |         T obj ;
      |           ^~~
RcppExports.cpp:20:85:   required from here
   20 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd> >::type y(ySEXP);
      |                                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from 'class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   64 |         T obj ;
      |           ^~~
RcppExports.cpp:22:85:   required from here
   22 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::MatrixXd> >::type X(XSEXP);
      |                                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from 'class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   64 |         T obj ;
      |           ^~~
RcppExports.cpp:22:85:   required from here
   22 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::MatrixXd> >::type X(XSEXP);
      |                                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>'
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>'
  148 | class SparseMapBase<Derived,WriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from 'class Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >'
  222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from 'class Eigen::MappedSparseMatrix<double>'
   32 | class MappedSparseMatrix
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from 'class Rcpp::ConstInputParameter<Eigen::MappedSparseMatrix<double> >'
   64 |         T obj ;
      |           ^~~
RcppExports.cpp:23:93:   required from here
   23 |     Rcpp::traits::input_parameter< const Eigen::MappedSparseMatrix<double> >::type Zt(ZtSEXP);
      |                                                                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"      -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c compute_galamm.cpp -o compute_galamm.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from data.h:4,
                 from compute_galamm.cpp:2:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/autodiff/forward/utils/gradient.hpp:35,
                 from ../inst/include/autodiff/forward/dual/eigen.hpp:37,
                 from data.h:6:
../inst/include/autodiff/common/classtraits.hpp:56:39: warning: unnecessary parentheses in declaration of 'f' [-Wparentheses]
   56 |     template<typename C> static char ((&f(decltype(&C::value))))[1];
      |                                       ^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/autodiff/common/classtraits.hpp:56:39: note: remove parentheses
   56 |     template<typename C> static char ((&f(decltype(&C::value))))[1];
      |                                       ^~~~~~~~~~~~~~~~~~~~~~~~~
      |                                       -                       -
../inst/include/autodiff/common/classtraits.hpp:57:39: warning: unnecessary parentheses in declaration of 'f' [-Wparentheses]
   57 |     template<typename C> static char ((&f(...)))[2];
      |                                       ^~~~~~~~~
../inst/include/autodiff/common/classtraits.hpp:57:39: note: remove parentheses
   57 |     template<typename C> static char ((&f(...)))[2];
      |                                       ^~~~~~~~~
      |                                       -       -
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
data.h:16:5:   required from here
   16 |   ) :
      |     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
data.h:16:5:   required from here
   16 |   ) :
      |     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
data.h:16:5:   required from here
   16 |   ) :
      |     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
compute_galamm.cpp:444:1:   required from here
  444 | ){
      | ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
compute_galamm.cpp:444:1:   required from here
  444 | ){
      | ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>'
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1>'
  148 | class SparseMapBase<Derived,WriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from 'class Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >'
  222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from 'class Eigen::MappedSparseMatrix<double>'
   32 | class MappedSparseMatrix
      |       ^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:444:1:   required from here
  444 | ){
      | ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >'
  282 | struct evaluator<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
compute_galamm.cpp:447:28:   required from here
  447 |     return wrapper<dual2nd>(
      |            ~~~~~~~~~~~~~~~~^
  448 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |       maxit_conditional_modes, lossvalue_tol, reduced_hessian);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]':
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28:   required from here
  447 |     return wrapper<dual2nd>(
      |            ~~~~~~~~~~~~~~~~^
  448 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |       maxit_conditional_modes, lossvalue_tol, reduced_hessian);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:98:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   98 |   for(int k{}; k < modvec.size(); k++){
      |                ~~^~~~~~~~~~~~~~~
compute_galamm.cpp:117:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  117 |     for(int k{}; k < modvec.size(); k++){
      |                  ~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::ArrayWrapper<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_pow_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::ArrayWrapper<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::ArrayWrapper<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
compute_galamm.cpp:123:70:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]'
  123 |     Vdual<T> weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28:   required from here
  447 |     return wrapper<dual2nd>(
      |            ~~~~~~~~~~~~~~~~^
  448 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |       maxit_conditional_modes, lossvalue_tol, reduced_hessian);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
   45 | class Array
      |       ^~~~~
compute_galamm.cpp:123:74:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]'
  123 |     Vdual<T> weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28:   required from here
  447 |     return wrapper<dual2nd>(
      |            ~~~~~~~~~~~~~~~~^
  448 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |       maxit_conditional_modes, lossvalue_tol, reduced_hessian);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
compute_galamm.cpp:128:25:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]'
  128 |       parlist.u += step * delta_u;
      |                    ~~~~~^~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28:   required from here
  447 |     return wrapper<dual2nd>(
      |            ~~~~~~~~~~~~~~~~^
  448 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |       maxit_conditional_modes, lossvalue_tol, reduced_hessian);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]':
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28:   required from here
  447 |     return wrapper<dual2nd>(
      |            ~~~~~~~~~~~~~~~~^
  448 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |       maxit_conditional_modes, lossvalue_tol, reduced_hessian);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:131:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  131 |       for(int k{}; k < modvec.size(); k++){
      |                    ~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, double>, const Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >::CastXpr<double>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1> >::cast() const [with NewType = double]'
   62 | cast() const
      | ^~~~
misc.h:191:54:   required from 'Rcpp::List create_result(Functor1, Functor2, parameters<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >&, bool) [with Functor1 = wrapper<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool)::<lambda(parameters<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >&)>; Functor2 = wrapper<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool)::<lambda(parameters<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >&)>; Rcpp::List = Rcpp::Vector<19>]'
  191 |     Rcpp::Named("u") = extras.u.template cast<double>(),
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:313:23:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  313 |   return create_result(fx, gx, parlist, reduced_hessian);
      |          ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28:   required from here
  447 |     return wrapper<dual2nd>(
      |            ~~~~~~~~~~~~~~~~^
  448 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |       maxit_conditional_modes, lossvalue_tol, reduced_hessian);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<double, double>]':
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<double, double>; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:453:28:   required from here
  453 |     return wrapper<dual1st>(
      |            ~~~~~~~~~~~~~~~~^
  454 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |       lambda_mapping_X,lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:98:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   98 |   for(int k{}; k < modvec.size(); k++){
      |                ~~^~~~~~~~~~~~~~~
compute_galamm.cpp:117:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  117 |     for(int k{}; k < modvec.size(); k++){
      |                  ~~^~~~~~~~~~~~~~~
compute_galamm.cpp:131:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  131 |       for(int k{}; k < modvec.size(); k++){
      |                    ~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, 1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >::CastXpr<double>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >::cast() const [with NewType = double]'
   62 | cast() const
      | ^~~~
data.h:17:16:   required from 'data<T>::data(Eigen::VectorXd, Eigen::VectorXd, Eigen::MatrixXd, Eigen::SparseMatrix<double, 0, int>) [with T = double; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
   17 |   y { y.cast<T>() }, trials { trials.cast<T>() }, X { X.cast<T>() },
      |       ~~~~~~~~~^~
compute_galamm.cpp:279:11:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  279 |   data<T> datlist{y, trials, X, Zt};
      |           ^~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<double>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::cast() const [with NewType = double]'
   62 | cast() const
      | ^~~~
data.h:17:64:   required from 'data<T>::data(Eigen::VectorXd, Eigen::VectorXd, Eigen::MatrixXd, Eigen::SparseMatrix<double, 0, int>) [with T = double; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
   17 |   y { y.cast<T>() }, trials { trials.cast<T>() }, X { X.cast<T>() },
      |                                                       ~~~~~~~~~^~
compute_galamm.cpp:279:11:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  279 |   data<T> datlist{y, trials, X, Zt};
      |           ^~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::SparseMatrix<double, 0, int> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::SparseMatrix<double, 0, int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::SparseMatrix<double, 0, int> > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::CastXpr<double>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::CastXpr<NewType>::Type Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >::cast() const [with NewType = double]'
   62 | cast() const
      | ^~~~
data.h:18:18:   required from 'data<T>::data(Eigen::VectorXd, Eigen::VectorXd, Eigen::MatrixXd, Eigen::SparseMatrix<double, 0, int>) [with T = double; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
   18 |   Zt { Zt.cast<T>() }
      |        ~~~~~~~~~~^~
compute_galamm.cpp:279:11:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  279 |   data<T> datlist{y, trials, X, Zt};
      |           ^~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
parameters.h:57:42:   required from 'parameters<T>::parameters(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXi&, const int&, const double&, const int&) [with T = double; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
   57 |     WSqrt.diagonal() = Vdual<T>::Constant(n, 1);
      |                        ~~~~~~~~~~~~~~~~~~^~~~~~
compute_galamm.cpp:281:17:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  281 |   parameters<T> parlist{
      |                 ^~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]':
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:98:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Model<double>, std::default_delete<Model<double> > >, std::allocator<std::unique_ptr<Model<double>, std::default_delete<Model<double> > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   98 |   for(int k{}; k < modvec.size(); k++){
      |                ~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
compute_galamm.cpp:99:77:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   99 |     Vdual<T> upd = modvec[k]->get_V(lp, datlist.trials, parlist.WSqrt).array() *
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > >'
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >::CastXpr<double>'
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >::cast() const [with NewType = double]'
   62 | cast() const
      | ^~~~
compute_galamm.cpp:100:69:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  100 |       (parlist.family_mapping.array() == k).array().template cast<T>();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<int, int, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<int, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, 1> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
compute_galamm.cpp:99:80:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   99 |     Vdual<T> upd = modvec[k]->get_V(lp, datlist.trials, parlist.WSqrt).array() *
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  100 |       (parlist.family_mapping.array() == k).array().template cast<T>();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]':
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:117:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Model<double>, std::default_delete<Model<double> > >, std::allocator<std::unique_ptr<Model<double>, std::default_delete<Model<double> > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  117 |     for(int k{}; k < modvec.size(); k++){
      |                  ~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
compute_galamm.cpp:123:70:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  123 |     Vdual<T> weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
compute_galamm.cpp:123:87:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  123 |     Vdual<T> weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array();
      |                                                                            ~~~~~~~~~~~^~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
compute_galamm.cpp:123:103:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  123 |     Vdual<T> weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array();
      |                                                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
compute_galamm.cpp:123:74:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  123 |     Vdual<T> weighted_residual = parlist.WSqrt.diagonal().array().pow(2) * (datlist.y - meanvec).array();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2, Eigen::Sparse>'
  145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
      |       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
compute_galamm.cpp:124:45:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |                             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
compute_galamm.cpp:124:58:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
compute_galamm.cpp:124:79:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
compute_galamm.cpp:124:27:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |               ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
compute_galamm.cpp:128:25:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  128 |       parlist.u += step * delta_u;
      |                    ~~~~~^~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]':
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:131:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Model<double>, std::default_delete<Model<double> > >, std::allocator<std::unique_ptr<Model<double>, std::default_delete<Model<double> > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  131 |       for(int k{}; k < modvec.size(); k++){
      |                    ~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double, 0, int> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, const Eigen::SparseMatrix<double, 0, int> >, Eigen::internal::IteratorBased, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >'
   27 |       CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                               ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, const Eigen::SparseMatrix<double, 0, int> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, const Eigen::SparseMatrix<double, 0, int> >; _Scalar = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; int _Options = 0; _StorageIndex = int]'
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
data.h:18:3:   required from 'data<T>::data(Eigen::VectorXd, Eigen::VectorXd, Eigen::MatrixXd, Eigen::SparseMatrix<double, 0, int>) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
   18 |   Zt { Zt.cast<T>() }
      |   ^~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:279:11:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  279 |   data<T> datlist{y, trials, X, Zt};
      |           ^~~~~~~
compute_galamm.cpp:447:28:   required from here
  447 |     return wrapper<dual2nd>(
      |            ~~~~~~~~~~~~~~~~^
  448 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |       maxit_conditional_modes, lossvalue_tol, reduced_hessian);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from compute_galamm.cpp:6:
update_funs.h: In instantiation of 'void update_Zt(SpMdual<T>&, Vdual<T>&, const std::vector<std::vector<int> >&, const std::vector<std::vector<double> >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; SpMdual<T> = Eigen::SparseMatrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, 0, int>; Vdual<T> = Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1>]':
compute_galamm.cpp:89:12:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]'
   89 |   update_Zt(datlist.Zt, parlist.lambda, parlist.lambda_mapping_Zt, parlist.lambda_mapping_Zt_covs);
      |   ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28:   required from here
  447 |     return wrapper<dual2nd>(
      |            ~~~~~~~~~~~~~~~~^
  448 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |       maxit_conditional_modes, lossvalue_tol, reduced_hessian);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
update_funs.h:117:21: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
  117 |   for(size_t k{}; k < Zt.outerSize(); ++k){
      |                   ~~^~~~~~~~~~~~~~~~
update_funs.h: In instantiation of 'void update_X(Mdual<T>&, Vdual<T>&, const Eigen::VectorXi&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Mdual<T> = Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, -1, 0, -1, -1>; Vdual<T> = Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]':
compute_galamm.cpp:90:11:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]'
   90 |   update_X(datlist.X, parlist.lambda, parlist.lambda_mapping_X);
      |   ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28:   required from here
  447 |     return wrapper<dual2nd>(
      |            ~~~~~~~~~~~~~~~~^
  448 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |       maxit_conditional_modes, lossvalue_tol, reduced_hessian);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
update_funs.h:64:21: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<int, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
   64 |   for(size_t i{}; i < lambda_mapping_X.size(); i++){
      |                   ~~^~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of 'T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Vdual<T> = Eigen::Matrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, -1, 1, 0, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >, 0, int>, 1, Eigen::AMDOrdering<int> >]':
compute_galamm.cpp:111:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >]'
  111 |   T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
      |                           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> >; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:447:28:   required from here
  447 |     return wrapper<dual2nd>(
      |            ~~~~~~~~~~~~~~~~^
  448 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  450 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  451 |       maxit_conditional_modes, lossvalue_tol, reduced_hessian);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:36:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > >, std::default_delete<Model<autodiff::detail::Dual<autodiff::detail::Dual<double, double>, autodiff::detail::Dual<double, double> > > > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   36 |   for(int k{}; k < modvec.size(); k++){
      |                ~~^~~~~~~~~~~~~~~
update_funs.h: In instantiation of 'void update_Zt(SpMdual<T>&, Vdual<T>&, const std::vector<std::vector<int> >&, const std::vector<std::vector<double> >&) [with T = autodiff::detail::Dual<double, double>; SpMdual<T> = Eigen::SparseMatrix<autodiff::detail::Dual<double, double>, 0, int>; Vdual<T> = Eigen::Matrix<autodiff::detail::Dual<double, double>, -1, 1, 0, -1, 1>]':
compute_galamm.cpp:89:12:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<double, double>]'
   89 |   update_Zt(datlist.Zt, parlist.lambda, parlist.lambda_mapping_Zt, parlist.lambda_mapping_Zt_covs);
      |   ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<double, double>; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:453:28:   required from here
  453 |     return wrapper<dual1st>(
      |            ~~~~~~~~~~~~~~~~^
  454 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |       lambda_mapping_X,lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
update_funs.h:117:21: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
  117 |   for(size_t k{}; k < Zt.outerSize(); ++k){
      |                   ~~^~~~~~~~~~~~~~~~
update_funs.h: In instantiation of 'void update_X(Mdual<T>&, Vdual<T>&, const Eigen::VectorXi&) [with T = autodiff::detail::Dual<double, double>; Mdual<T> = Eigen::Matrix<autodiff::detail::Dual<double, double>, -1, -1, 0, -1, -1>; Vdual<T> = Eigen::Matrix<autodiff::detail::Dual<double, double>, -1, 1, 0, -1, 1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]':
compute_galamm.cpp:90:11:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<double, double>]'
   90 |   update_X(datlist.X, parlist.lambda, parlist.lambda_mapping_X);
      |   ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<double, double>; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:453:28:   required from here
  453 |     return wrapper<dual1st>(
      |            ~~~~~~~~~~~~~~~~^
  454 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |       lambda_mapping_X,lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
update_funs.h:64:21: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<int, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
   64 |   for(size_t i{}; i < lambda_mapping_X.size(); i++){
      |                   ~~^~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of 'T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = autodiff::detail::Dual<double, double>; Vdual<T> = Eigen::Matrix<autodiff::detail::Dual<double, double>, -1, 1, 0, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<autodiff::detail::Dual<double, double>, 0, int>, 1, Eigen::AMDOrdering<int> >]':
compute_galamm.cpp:111:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = autodiff::detail::Dual<double, double>]'
  111 |   T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
      |                           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = autodiff::detail::Dual<double, double>; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:453:28:   required from here
  453 |     return wrapper<dual1st>(
      |            ~~~~~~~~~~~~~~~~^
  454 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |       lambda_mapping_X,lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  456 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  457 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:36:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > >, std::allocator<std::unique_ptr<Model<autodiff::detail::Dual<double, double> >, std::default_delete<Model<autodiff::detail::Dual<double, double> > > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   36 |   for(int k{}; k < modvec.size(); k++){
      |                ~~^~~~~~~~~~~~~~~
update_funs.h: In instantiation of 'void update_Zt(SpMdual<T>&, Vdual<T>&, const std::vector<std::vector<int> >&, const std::vector<std::vector<double> >&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>; Vdual<T> = Eigen::Matrix<double, -1, 1>]':
compute_galamm.cpp:89:12:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   89 |   update_Zt(datlist.Zt, parlist.lambda, parlist.lambda_mapping_Zt, parlist.lambda_mapping_Zt_covs);
      |   ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
update_funs.h:117:21: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
  117 |   for(size_t k{}; k < Zt.outerSize(); ++k){
      |                   ~~^~~~~~~~~~~~~~~~
update_funs.h: In instantiation of 'void update_X(Mdual<T>&, Vdual<T>&, const Eigen::VectorXi&) [with T = double; Mdual<T> = Eigen::Matrix<double, -1, -1>; Vdual<T> = Eigen::Matrix<double, -1, 1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]':
compute_galamm.cpp:90:11:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   90 |   update_X(datlist.X, parlist.lambda, parlist.lambda_mapping_X);
      |   ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
update_funs.h:64:21: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<int, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
   64 |   for(size_t i{}; i < lambda_mapping_X.size(); i++){
      |                   ~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
misc.h:28:20:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |          ~~~~~~~~~~^~~~~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double, 0, int>, 1024>'
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>'
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
misc.h:28:57:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |                                     ~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2, Eigen::Sparse>'
  145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
      |       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
misc.h:28:60:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~^
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~                             
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
misc.h:29:33:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
misc.h:28:35:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0, Eigen::Sparse>'
  145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
      |       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
misc.h:60:39:   required from 'SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]'
   60 |   return parlist.Lambdat * datlist.Zt * V *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
compute_galamm.cpp:107:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  107 |   SpMdual<T> H = inner_hessian(parlist, datlist, V);
      |                  ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2, Eigen::Sparse>'
  145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
      |       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
misc.h:60:43:   required from 'SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]'
   60 |   return parlist.Lambdat * datlist.Zt * V *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   61 |     datlist.Zt.transpose() * parlist.Lambdat.transpose();
      |     ~~~~~~~~~~~~~~~~~~~~~~                 
compute_galamm.cpp:107:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  107 |   SpMdual<T> H = inner_hessian(parlist, datlist, V);
      |                  ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2, Eigen::Sparse>'
  145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
      |       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
misc.h:61:28:   required from 'SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]'
   60 |   return parlist.Lambdat * datlist.Zt * V *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   61 |     datlist.Zt.transpose() * parlist.Lambdat.transpose();
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  107 |   SpMdual<T> H = inner_hessian(parlist, datlist, V);
      |                  ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
compute_galamm.cpp: In instantiation of 'T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]':
compute_galamm.cpp:111:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  111 |   T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
      |                           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:36:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Model<double>, std::default_delete<Model<double> > >, std::allocator<std::unique_ptr<Model<double>, std::default_delete<Model<double> > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   36 |   for(int k{}; k < modvec.size(); k++){
      |                ~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
compute_galamm.cpp:54:21:   required from 'T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]'
   54 |     ret += ((WSqrt0 * y0).dot(WSqrt0 * lp0) -
      |             ~~~~~~~~^~~~~
compute_galamm.cpp:111:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  111 |   T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
      |                           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
compute_galamm.cpp:61:27:   required from 'T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]'
   61 |     solver.vectorD().array().log().sum() / 2;
      |     ~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:111:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  111 |   T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
      |                           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
compute_galamm.cpp:61:33:   required from 'T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]'
   61 |     solver.vectorD().array().log().sum() / 2;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:111:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  111 |   T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
      |                           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, long long int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, long long int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:312:36:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> > >'
  312 |   typedef typename Derived::Scalar Scalar;
      |                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, long long int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>'
   96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2> >'
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
misc.h:61:28:   required from 'SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]'
   60 |   return parlist.Lambdat * datlist.Zt * V *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   61 |     datlist.Zt.transpose() * parlist.Lambdat.transpose();
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  107 |   SpMdual<T> H = inner_hessian(parlist, datlist, V);
      |                  ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, long long int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, long long int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>'
   96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2> >'
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
misc.h:61:28:   required from 'SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]'
   60 |   return parlist.Lambdat * datlist.Zt * V *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   61 |     datlist.Zt.transpose() * parlist.Lambdat.transpose();
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  107 |   SpMdual<T> H = inner_hessian(parlist, datlist, V);
      |                  ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:60:34:   required from 'T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]'
   60 |   return ret - u_eval.squaredNorm() / 2 / phi(0) -
      |                ~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:111:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  111 |   T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
      |                           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; U = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
compute_galamm.cpp:54:30:   required from 'T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]'
   54 |     ret += ((WSqrt0 * y0).dot(WSqrt0 * lp0) -
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
compute_galamm.cpp:111:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  111 |   T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
      |                           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, long long int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long long int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, long long int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:312:36:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long long int> > >'
  312 |   typedef typename Derived::Scalar Scalar;
      |                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, long long int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>'
   96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  174 |   internal::generic_product_impl<Lhs, Rhs>::evalTo(dst,src.lhs(),src.rhs());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  689 |         *this = other.derived();
      |         ~~~~~~^~~~~~~~~~~~~~~~~
misc.h:61:28:   required from 'SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]'
   60 |   return parlist.Lambdat * datlist.Zt * V *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   61 |     datlist.Zt.transpose() * parlist.Lambdat.transpose();
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  107 |   SpMdual<T> H = inner_hessian(parlist, datlist, V);
      |                  ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, long long int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long long int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, long long int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>'
   96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2> >'
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h:121:8:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Sparse>'
  121 | struct plain_object_eval<T,Sparse>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:71:53:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  174 |   internal::generic_product_impl<Lhs, Rhs>::evalTo(dst,src.lhs(),src.rhs());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  689 |         *this = other.derived();
      |         ~~~~~~^~~~~~~~~~~~~~~~~
misc.h:61:28:   required from 'SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]'
   60 |   return parlist.Lambdat * datlist.Zt * V *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   61 |     datlist.Zt.transpose() * parlist.Lambdat.transpose();
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  107 |   SpMdual<T> H = inner_hessian(parlist, datlist, V);
      |                  ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/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, 0, int>, const Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>'
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double, 0, int>, const Eigen::SparseMatrix<double, 0, int> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0, int>]'
   36 |   symmat = C + A;
      |            ~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42:   required from 'void Eigen::AMDOrdering<StorageIndex>::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]'
   63 |       internal::ordering_helper_at_plus_a(mat,symm);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >; MatrixType = Eigen::SparseMatrix<double, 0, int>; ConstCholMatrixPtr = const Eigen::SparseMatrix<double, 0, int>*; CholMatrixType = Eigen::SparseMatrix<double, 0, int>]'
  671 |       ordering(C,m_Pinv);
      |       ~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:244:7:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::analyzePattern(const MatrixType&, bool) [with Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >; MatrixType = Eigen::SparseMatrix<double, 0, int>]'
  244 |       ordering(a, pmat, tmp);
      |       ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:483:27:   required from 'void Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::analyzePattern(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double, 0, int>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double, 0, int>]'
  483 |       Base::analyzePattern(a, true);
      |       ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
compute_galamm.cpp:108:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  108 |   solver.analyzePattern(H);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:61:39:   required from 'T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]'
   61 |     solver.vectorD().array().log().sum() / 2;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:111:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  111 |   T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
      |                           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:200:20:   required from 'static void Eigen::internal::conservative_sparse_sparse_product_selector<Lhs, Rhs, ResultType, 1, 1, 0>::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix<double, 1, long long int>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; ResultType = Eigen::SparseMatrix<double, 0, int>]'
  200 |     RowMajorMatrix resRow(lhs.rows(), rhs.cols());
      |                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix<double, 0, int>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; int ProductType = 8]'
   75 |     internal::conservative_sparse_sparse_product_selector<typename remove_all<LhsNested>::type,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~            
   76 |                                                           typename remove_all<RhsNested>::type, Dest>::run(lhsNested,rhsNested,dst);
      |                                                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double, 0, int>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; int ProductType = 8]'
   43 |     evalTo(dst, lhs, rhs, typename evaluator_traits<Dest>::Shape());
      |     ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  174 |   internal::generic_product_impl<Lhs, Rhs>::evalTo(dst,src.lhs(),src.rhs());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  689 |         *this = other.derived();
      |         ~~~~~~^~~~~~~~~~~~~~~~~
misc.h:61:28:   required from 'SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]'
   60 |   return parlist.Lambdat * datlist.Zt * V *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   61 |     datlist.Zt.transpose() * parlist.Lambdat.transpose();
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  107 |   SpMdual<T> H = inner_hessian(parlist, datlist, V);
      |                  ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:60:34:   required from 'T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]'
   60 |   return ret - u_eval.squaredNorm() / 2 / phi(0) -
      |                ~~~~~~~~~~~~~~~~~~^~
compute_galamm.cpp:111:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  111 |   T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
      |                           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:202:9:   required from 'static void Eigen::internal::conservative_sparse_sparse_product_selector<Lhs, Rhs, ResultType, 1, 1, 0>::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix<double, 1, long long int>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; ResultType = Eigen::SparseMatrix<double, 0, int>]'
  202 |     res = resRow;
      |     ~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  174 |   internal::generic_product_impl<Lhs, Rhs>::evalTo(dst,src.lhs(),src.rhs());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  689 |         *this = other.derived();
      |         ~~~~~~^~~~~~~~~~~~~~~~~
misc.h:61:28:   required from 'SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]'
   60 |   return parlist.Lambdat * datlist.Zt * V *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   61 |     datlist.Zt.transpose() * parlist.Lambdat.transpose();
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  107 |   SpMdual<T> H = inner_hessian(parlist, datlist, V);
      |                  ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; U = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
compute_galamm.cpp:54:30:   required from 'T loss(const parameters<T>&, const data<T>&, Vdual<T>&, std::vector<std::unique_ptr<Model<T> > >&, ldlt<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; ldlt<T> = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]'
   54 |     ret += ((WSqrt0 * y0).dot(WSqrt0 * lp0) -
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
compute_galamm.cpp:111:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  111 |   T lossvalue_prev = -2 * loss(parlist, datlist, lp, modvec, solver, phi);
      |                           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 2, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 2, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 2>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:173:20:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 0, int>, 5> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 0, int>, 5, Eigen::Sparse>'
   25 | template<typename MatrixType, unsigned int Mode> class TriangularViewImpl<MatrixType,Mode,Sparse>
      |                                                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 0, int>, 5>'
  187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
      |                                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]'
  178 |         derived().matrixL().solveInPlace(dest);
      |         ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
  278 |   typedef typename DiagonalVectorType::Scalar Scalar;
      |                                               ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 6> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 6, Eigen::Sparse>'
   25 | template<typename MatrixType, unsigned int Mode> class TriangularViewImpl<MatrixType,Mode,Sparse>
      |                                                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 6>'
  187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
      |                                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >]'
  184 |         derived().matrixU().solveInPlace(dest);
      |         ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:187:23:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  174 |   internal::generic_product_impl<Lhs, Rhs>::evalTo(dst,src.lhs(),src.rhs());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::DiagonalMatrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  689 |         *this = other.derived();
      |         ~~~~~~^~~~~~~~~~~~~~~~~
misc.h:61:28:   required from 'SpMdual<T> inner_hessian(const parameters<T>&, const data<T>&, const Eigen::DiagonalMatrix<T, -1>&) [with T = double; SpMdual<T> = Eigen::SparseMatrix<double, 0, int>]'
   60 |   return parlist.Lambdat * datlist.Zt * V *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   61 |     datlist.Zt.transpose() * parlist.Lambdat.transpose();
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:107:31:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  107 |   SpMdual<T> H = inner_hessian(parlist, datlist, V);
      |                  ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
misc.h:28:35:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
misc.h:28:35:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
misc.h:28:35:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
misc.h:28:35:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
misc.h:28:35:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
misc.h:28:35:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
misc.h:28:35:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
misc.h:28:35:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
misc.h:28:35:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, 1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
misc.h:28:35:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, Eigen::Transpose<const Eigen::SparseMatrix<double, 0, int> >, 2>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
misc.h:28:35:   required from 'Vdual<T> linpred(const parameters<T>&, const data<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   28 |   return datlist.X * parlist.beta + datlist.Zt.transpose() *
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |     parlist.Lambdat.transpose() * parlist.u;
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:93:24:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
   93 |   Vdual<T> lp = linpred(parlist, datlist);
      |                 ~~~~~~~^~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = swap_assign_op<double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = swap_assign_op<double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]'
  424 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double, 0, int>, 1, Eigen::AMDOrdering<int> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
compute_galamm.cpp:124:13:   required from 'logLikObject<T> logLik(parameters<T>, data<T>, std::vector<std::unique_ptr<Model<T> > >&) [with T = double]'
  124 |     delta_u = solver.solve((parlist.Lambdat * datlist.Zt * weighted_residual) - parlist.u);
      |     ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:306:22:   required from 'Rcpp::List wrapper(const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::SparseMatrix<double, 0, int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXi&, const Rcpp::ListOf<Rcpp::Vector<13> >&, const Rcpp::ListOf<Rcpp::Vector<14, Rcpp::PreserveStorage> >&, const Eigen::VectorXd&, const std::vector<int>&, const std::vector<std::__cxx11::basic_string<char> >&, const Eigen::VectorXi&, const Eigen::VectorXd&, const int&, const double&, bool) [with T = double; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXi = Eigen::Matrix<int, -1, 1>]'
  306 |     auto lll = logLik(parlist, datlist, mod);
      |                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
compute_galamm.cpp:459:27:   required from here
  459 |     return wrapper<double>(
      |            ~~~~~~~~~~~~~~~^
  460 |       y, trials, X, Zt, Lambdat, beta, theta, theta_mapping, u_init, lambda,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |       lambda_mapping_X, lambda_mapping_Zt, lambda_mapping_Zt_covs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  462 |       weights, weights_mapping, family, family_mapping, k,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  463 |       maxit_conditional_modes, lossvalue_tol);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
model.h:156:31:   required from 'T Poisson<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]'
  156 |     return linpred.array().exp().sum();
      |            ~~~~~~~~~~~~~~~~~~~^~
model.h:154:5:   required from here
  154 |   T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
      |     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
model.h:69:16:   required from 'T Binomial<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]'
   69 |     return ((1 + linpred.array().exp()).log() * trials.array()).sum();
      |             ~~~^~~~~~~~~~~~~~~~~~~~~~~~
model.h:67:5:   required from here
   67 |   T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
      |     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
model.h:69:44:   required from 'T Binomial<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]'
   69 |     return ((1 + linpred.array().exp()).log() * trials.array()).sum();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model.h:67:5:   required from here
   67 |   T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
      |     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
model.h:69:47:   required from 'T Binomial<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]'
   69 |     return ((1 + linpred.array().exp()).log() * trials.array()).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
model.h:67:5:   required from here
   67 |   T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
      |     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
model.h:77:34:   required from 'Vdual<T> Binomial<T>::meanfun(Vdual<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   77 |     return linpred.array().exp() / (1 + linpred.array().exp()) * trials.array();
      |            ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model.h:75:12:   required from here
   75 |   Vdual<T> meanfun(const Vdual<T>& linpred,
      |            ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
model.h:77:64:   required from 'Vdual<T> Binomial<T>::meanfun(Vdual<T>&, Vdual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>]'
   77 |     return linpred.array().exp() / (1 + linpred.array().exp()) * trials.array();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
model.h:75:12:   required from here
   75 |   Vdual<T> meanfun(const Vdual<T>& linpred,
      |            ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
model.h:84:49:   required from 'Vdual<T> Binomial<T>::get_V(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]'
   84 |         return meanfun(linpred, trials).array() / trials.array() *
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
model.h:80:12:   required from here
   80 |   Vdual<T> get_V(
      |            ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
model.h:85:29:   required from 'Vdual<T> Binomial<T>::get_V(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]'
   85 |             (trials.array() - meanfun(linpred, trials).array());
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model.h:80:12:   required from here
   80 |   Vdual<T> get_V(
      |            ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
model.h:84:66:   required from 'Vdual<T> Binomial<T>::get_V(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]'
   84 |         return meanfun(linpred, trials).array() / trials.array() *
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   85 |             (trials.array() - meanfun(linpred, trials).array());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
model.h:80:12:   required from here
   80 |   Vdual<T> get_V(
      |            ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
model.h:125:44:   required from 'Vdual<T> Gaussian<T>::get_V(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]'
  125 |         return WSqrt.diagonal().array().pow(2);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model.h:123:12:   required from here
  123 |   Vdual<T> get_V(const Vdual<T>& linpred, const Vdual<T>& trials,
      |            ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
model.h:112:43:   required from 'T Gaussian<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]'
  112 |                return weighted.squaredNorm() / 2;
      |                       ~~~~~~~~~~~~~~~~~~~~^~
model.h:109:5:   required from here
  109 |   T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
      |     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model.h:156:37:   required from 'T Poisson<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]'
  156 |     return linpred.array().exp().sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~^~
model.h:154:5:   required from here
  154 |   T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
      |     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model.h:69:68:   required from 'T Binomial<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]'
   69 |     return ((1 + linpred.array().exp()).log() * trials.array()).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model.h:67:5:   required from here
   67 |   T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
      |     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Product<Eigen::DiagonalMatrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
model.h:112:43:   required from 'T Gaussian<T>::cumulant(Vdual<T>&, Vdual<T>&, Ddual<T>&) [with T = double; Vdual<T> = Eigen::Matrix<double, -1, 1>; Ddual<T> = Eigen::DiagonalMatrix<double, -1, -1>]'
  112 |                return weighted.squaredNorm() / 2;
      |                       ~~~~~~~~~~~~~~~~~~~~^~
model.h:109:5:   required from here
  109 |   T cumulant(const Vdual<T>& linpred, const Vdual<T>& trials,
      |     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++ -shared -s -static-libgcc -o galamm.dll tmp.def RcppExports.o compute_galamm.o -Ld:/rtools45/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools45/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR
installing to d:/RCompile/CRANincoming/R-devel/lib/00LOCK-galamm/00new/galamm/libs/x64
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** 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 (galamm)