C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:983:11:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
C:/Users/tschwoerer/Documents/R/win-library/4.0/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<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76:   required from 'const CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op<double, double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/Core:440,
                 from C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/Dense:1,
                 from C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from <command-line>:
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
   enum {
        ^
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op<double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:965:19:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
In file included from C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/Core:434,
                 from C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/Dense:1,
                 from C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13,
                 from <command-line>:
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with long long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
                      >::type PacketReturnType;
                              ^~~~~~~~~~~~~~~~
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/prim/mat/fun/mean.hpp:23:57:   required from 'stan::return_type_t<T> stan::math::mean(const std::vector<T>&) [with T = double; stan::return_type_t<T> = double]'
file2218124d32ff.cpp:479:41:   required from 'void model221868293dcf_flights_model3_namespace::model221868293dcf_flights_model3::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/src/stan/model/model_base_crtp.hpp:200:70:   required from 'void stan::model::model_base_crtp<M>::write_array(boost::random::ecuyer1988&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with M = model221868293dcf_flights_model3_namespace::model221868293dcf_flights_model3; boost::random::ecuyer1988 = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/src/stan/model/model_base_crtp.hpp:195:8:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with long long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:468:10:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/prim/mat/fun/mean.hpp:24:17:   required from 'stan::return_type_t<T> stan::math::mean(const std::vector<T>&) [with T = double; stan::return_type_t<T> = double]'
file2218124d32ff.cpp:479:41:   required from 'void model221868293dcf_flights_model3_namespace::model221868293dcf_flights_model3::write_array(RNG&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/src/stan/model/model_base_crtp.hpp:200:70:   required from 'void stan::model::model_base_crtp<M>::write_array(boost::random::ecuyer1988&, std::vector<double>&, std::vector<int>&, std::vector<double>&, bool, bool, std::ostream*) const [with M = model221868293dcf_flights_model3_namespace::model221868293dcf_flights_model3; boost::random::ecuyer1988 = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; std::ostream = std::basic_ostream<char>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/src/stan/model/model_base_crtp.hpp:195:8:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
C:/Users/tschwoerer/Documents/R/win-library/4.0/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<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33:   required from 'std::tuple<Eigen::Matrix<double, -1, 1, 0, -1, 1> > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array<bool, size>&, const VectorXd&) const [with long long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10:   required from 'void stan::math::adj_jac_vari<F, Targs>::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix<stan::math::var, -1, 1, 0, -1, 1>}]'
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8:   required from here
C:/Users/tschwoerer/Documents/R/win-library/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(4) double'} [-Wignored-attributes]
In file included from C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/core.hpp:46,
                 from C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6,
                 from C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math.hpp:4,
                 from C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/src/stan/model/model_header.hpp:4,
                 from file2218124d32ff.cpp:14:
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp: At global scope:
C:/Users/tschwoerer/Documents/R/win-library/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp:14:13: warning: 'void stan::math::set_zero_all_adjoints()' defined but not used [-Wunused-function]
 static void set_zero_all_adjoints() {
             ^~~~~~~~~~~~~~~~~~~~~
C:/rtools40/mingw64/bin/g++ -shared -s -static-libgcc -o file2218124d32ff.dll tmp.def file2218124d32ff.o -LC:/PROGRA~1/R/R-40~1.2/bin/x64 -lR
C:/rtools40/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/8.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe: file2218124d32ff.o:file2218124d32ff.cpp:(.text+0x85c): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
C:/rtools40/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/8.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe: file2218124d32ff.o:file2218124d32ff.cpp:(.text+0x17e7): undefined reference to `rstan::stan_fit::stan_fit(SEXPREC*, int)'
C:/rtools40/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/8.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe: file2218124d32ff.o:file2218124d32ff.cpp:(.text+0x89e): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
C:/rtools40/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/8.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe: file2218124d32ff.o:file2218124d32ff.cpp:(.text$_ZN3tbb8internal26task_scheduler_observer_v3D1Ev[_ZN3tbb8internal26task_scheduler_observer_v3D1Ev]+0x14): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
C:/rtools40/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/8.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe: file2218124d32ff.o:file2218124d32ff.cpp:(.text$_ZN3tbb8internal26task_scheduler_observer_v3D0Ev[_ZN3tbb8internal26task_scheduler_observer_v3D0Ev]+0x1c): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
C:/rtools40/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/8.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe: file2218124d32ff.o:file2218124d32ff.cpp:(.text$_ZN4stan4math16ad_tape_observerD1Ev[_ZN4stan4math16ad_tape_observerD1Ev]+0x15): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
C:/rtools40/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/8.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe: file2218124d32ff.o:file2218124d32ff.cpp:(.text$_ZN4stan4math16ad_tape_observerD1Ev[_ZN4stan4math16ad_tape_observerD1Ev]+0x47): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
C:/rtools40/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/8.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe: file2218124d32ff.o:file2218124d32ff.cpp:(.text$_ZN4stan4math16ad_tape_observerD0Ev[_ZN4stan4math16ad_tape_observerD0Ev]+0x15): more undefined references to `tbb::internal::task_scheduler_observer_v3::observe(bool)' follow
collect2.exe: error: ld returned 1 exit status

ERROR(s) during compilation: source code errors or compiler configuration errors!

Program source:
  1: 
  2: // includes from the plugin
  3: // [[Rcpp::plugins(cpp14)]]
  4: 
  5: 
  6: // user includes
  7: #include <Rcpp.h>
  8: #include <rstan/io/rlist_ref_var_context.hpp>
  9: #include <rstan/io/r_ostream.hpp>
 10: #include <rstan/stan_args.hpp>
 11: #include <boost/integer/integer_log2.hpp>
 12: // Code generated by Stan version 2.21.0
 13: 
 14: #include <stan/model/model_header.hpp>
 15: 
 16: namespace model221868293dcf_flights_model3_namespace {
 17: 
 18: using std::istream;
 19: using std::string;
 20: using std::stringstream;
 21: using std::vector;
 22: using stan::io::dump;
 23: using stan::math::lgamma;
 24: using stan::model::prob_grad;
 25: using namespace stan::math;
 26: 
 27: static int current_statement_begin__;
 28: 
 29: stan::io::program_reader prog_reader__() {
 30:     stan::io::program_reader reader;
 31:     reader.add_event(0, 0, "start", "model221868293dcf_flights_model3");
 32:     reader.add_event(40, 38, "end", "model221868293dcf_flights_model3");
 33:     return reader;
 34: }
 35: 
 36: class model221868293dcf_flights_model3
 37:   : public stan::model::model_base_crtp<model221868293dcf_flights_model3> {
 38: private:
 39:         int J;
 40:         std::vector<int> y;
 41:         std::vector<int> n;
 42: public:
 43:     model221868293dcf_flights_model3(rstan::io::rlist_ref_var_context& context__,
 44:         std::ostream* pstream__ = 0)
 45:         : model_base_crtp(0) {
 46:         ctor_body(context__, 0, pstream__);
 47:     }
 48: 
 49:     model221868293dcf_flights_model3(stan::io::var_context& context__,
 50:         unsigned int random_seed__,
 51:         std::ostream* pstream__ = 0)
 52:         : model_base_crtp(0) {
 53:         ctor_body(context__, random_seed__, pstream__);
 54:     }
 55: 
 56:     void ctor_body(stan::io::var_context& context__,
 57:                    unsigned int random_seed__,
 58:                    std::ostream* pstream__) {
 59:         typedef double local_scalar_t__;
 60: 
 61:         boost::ecuyer1988 base_rng__ =
 62:           stan::services::util::create_rng(random_seed__, 0);
 63:         (void) base_rng__;  // suppress unused var warning
 64: 
 65:         current_statement_begin__ = -1;
 66: 
 67:         static const char* function__ = "model221868293dcf_flights_model3_namespace::model221868293dcf_flights_model3";
 68:         (void) function__;  // dummy to suppress unused var warning
 69:         size_t pos__;
 70:         (void) pos__;  // dummy to suppress unused var warning
 71:         std::vector<int> vals_i__;
 72:         std::vector<double> vals_r__;
 73:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
 74:         (void) DUMMY_VAR__;  // suppress unused var warning
 75: 
 76:         try {
 77:             // initialize data block variables from context__
 78:             current_statement_begin__ = 3;
 79:             context__.validate_dims("data initialization", "J", "int", context__.to_vec());
 80:             J = int(0);
 81:             vals_i__ = context__.vals_i("J");
 82:             pos__ = 0;
 83:             J = vals_i__[pos__++];
 84:             check_greater_or_equal(function__, "J", J, 0);
 85: 
 86:             current_statement_begin__ = 4;
 87:             validate_non_negative_index("y", "J", J);
 88:             context__.validate_dims("data initialization", "y", "int", context__.to_vec(J));
 89:             y = std::vector<int>(J, int(0));
 90:             vals_i__ = context__.vals_i("y");
 91:             pos__ = 0;
 92:             size_t y_k_0_max__ = J;
 93:             for (size_t k_0__ = 0; k_0__ < y_k_0_max__; ++k_0__) {
 94:                 y[k_0__] = vals_i__[pos__++];
 95:             }
 96:             size_t y_i_0_max__ = J;
 97:             for (size_t i_0__ = 0; i_0__ < y_i_0_max__; ++i_0__) {
 98:                 check_greater_or_equal(function__, "y[i_0__]", y[i_0__], 0);
 99:             }
100: 
101:             current_statement_begin__ = 5;
102:             validate_non_negative_index("n", "J", J);
103:             context__.validate_dims("data initialization", "n", "int", context__.to_vec(J));
104:             n = std::vector<int>(J, int(0));
105:             vals_i__ = context__.vals_i("n");
106:             pos__ = 0;
107:             size_t n_k_0_max__ = J;
108:             for (size_t k_0__ = 0; k_0__ < n_k_0_max__; ++k_0__) {
109:                 n[k_0__] = vals_i__[pos__++];
110:             }
111:             size_t n_i_0_max__ = J;
112:             for (size_t i_0__ = 0; i_0__ < n_i_0_max__; ++i_0__) {
113:                 check_greater_or_equal(function__, "n[i_0__]", n[i_0__], 0);
114:             }
115: 
116: 
117:             // initialize transformed data variables
118:             // execute transformed data statements
119: 
120:             // validate transformed data
121: 
122:             // validate, set parameter ranges
123:             num_params_r__ = 0U;
124:             param_ranges_i__.clear();
125:             current_statement_begin__ = 8;
126:             validate_non_negative_index("theta", "J", J);
127:             num_params_r__ += (1 * J);
128:             current_statement_begin__ = 9;
129:             num_params_r__ += 1;
130:             current_statement_begin__ = 10;
131:             num_params_r__ += 1;
132:         } catch (const std::exception& e) {
133:             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
134:             // Next line prevents compiler griping about no return
135:             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
136:         }
137:     }
138: 
139:     ~model221868293dcf_flights_model3() { }
140: 
141: 
142:     void transform_inits(const stan::io::var_context& context__,
143:                          std::vector<int>& params_i__,
144:                          std::vector<double>& params_r__,
145:                          std::ostream* pstream__) const {
146:         typedef double local_scalar_t__;
147:         stan::io::writer<double> writer__(params_r__, params_i__);
148:         size_t pos__;
149:         (void) pos__; // dummy call to supress warning
150:         std::vector<double> vals_r__;
151:         std::vector<int> vals_i__;
152: 
153:         current_statement_begin__ = 8;
154:         if (!(context__.contains_r("theta")))
155:             stan::lang::rethrow_located(std::runtime_error(std::string("Variable theta missing")), current_statement_begin__, prog_reader__());
156:         vals_r__ = context__.vals_r("theta");
157:         pos__ = 0U;
158:         validate_non_negative_index("theta", "J", J);
159:         context__.validate_dims("parameter initialization", "theta", "double", context__.to_vec(J));
160:         std::vector<double> theta(J, double(0));
161:         size_t theta_k_0_max__ = J;
162:         for (size_t k_0__ = 0; k_0__ < theta_k_0_max__; ++k_0__) {
163:             theta[k_0__] = vals_r__[pos__++];
164:         }
165:         size_t theta_i_0_max__ = J;
166:         for (size_t i_0__ = 0; i_0__ < theta_i_0_max__; ++i_0__) {
167:             try {
168:                 writer__.scalar_lub_unconstrain(0, 1, theta[i_0__]);
169:             } catch (const std::exception& e) {
170:                 stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable theta: ") + e.what()), current_statement_begin__, prog_reader__());
171:             }
172:         }
173: 
174:         current_statement_begin__ = 9;
175:         if (!(context__.contains_r("lambda")))
176:             stan::lang::rethrow_located(std::runtime_error(std::string("Variable lambda missing")), current_statement_begin__, prog_reader__());
177:         vals_r__ = context__.vals_r("lambda");
178:         pos__ = 0U;
179:         context__.validate_dims("parameter initialization", "lambda", "double", context__.to_vec());
180:         double lambda(0);
181:         lambda = vals_r__[pos__++];
182:         try {
183:             writer__.scalar_lub_unconstrain(0.01, 1, lambda);
184:         } catch (const std::exception& e) {
185:             stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable lambda: ") + e.what()), current_statement_begin__, prog_reader__());
186:         }
187: 
188:         current_statement_begin__ = 10;
189:         if (!(context__.contains_r("kappa")))
190:             stan::lang::rethrow_located(std::runtime_error(std::string("Variable kappa missing")), current_statement_begin__, prog_reader__());
191:         vals_r__ = context__.vals_r("kappa");
192:         pos__ = 0U;
193:         context__.validate_dims("parameter initialization", "kappa", "double", context__.to_vec());
194:         double kappa(0);
195:         kappa = vals_r__[pos__++];
196:         try {
197:             writer__.scalar_lb_unconstrain(0.10, kappa);
198:         } catch (const std::exception& e) {
199:             stan::lang::rethrow_located(std::runtime_error(std::string("Error transforming variable kappa: ") + e.what()), current_statement_begin__, prog_reader__());
200:         }
201: 
202:         params_r__ = writer__.data_r();
203:         params_i__ = writer__.data_i();
204:     }
205: 
206:     void transform_inits(const stan::io::var_context& context,
207:                          Eigen::Matrix<double, Eigen::Dynamic, 1>& params_r,
208:                          std::ostream* pstream__) const {
209:       std::vector<double> params_r_vec;
210:       std::vector<int> params_i_vec;
211:       transform_inits(context, params_i_vec, params_r_vec, pstream__);
212:       params_r.resize(params_r_vec.size());
213:       for (int i = 0; i < params_r.size(); ++i)
214:         params_r(i) = params_r_vec[i];
215:     }
216: 
217: 
218:     template <bool propto__, bool jacobian__, typename T__>
219:     T__ log_prob(std::vector<T__>& params_r__,
220:                  std::vector<int>& params_i__,
221:                  std::ostream* pstream__ = 0) const {
222: 
223:         typedef T__ local_scalar_t__;
224: 
225:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
226:         (void) DUMMY_VAR__;  // dummy to suppress unused var warning
227: 
228:         T__ lp__(0.0);
229:         stan::math::accumulator<T__> lp_accum__;
230:         try {
231:             stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
232: 
233:             // model parameters
234:             current_statement_begin__ = 8;
235:             std::vector<local_scalar_t__> theta;
236:             size_t theta_d_0_max__ = J;
237:             theta.reserve(theta_d_0_max__);
238:             for (size_t d_0__ = 0; d_0__ < theta_d_0_max__; ++d_0__) {
239:                 if (jacobian__)
240:                     theta.push_back(in__.scalar_lub_constrain(0, 1, lp__));
241:                 else
242:                     theta.push_back(in__.scalar_lub_constrain(0, 1));
243:             }
244: 
245:             current_statement_begin__ = 9;
246:             local_scalar_t__ lambda;
247:             (void) lambda;  // dummy to suppress unused var warning
248:             if (jacobian__)
249:                 lambda = in__.scalar_lub_constrain(0.01, 1, lp__);
250:             else
251:                 lambda = in__.scalar_lub_constrain(0.01, 1);
252: 
253:             current_statement_begin__ = 10;
254:             local_scalar_t__ kappa;
255:             (void) kappa;  // dummy to suppress unused var warning
256:             if (jacobian__)
257:                 kappa = in__.scalar_lb_constrain(0.10, lp__);
258:             else
259:                 kappa = in__.scalar_lb_constrain(0.10);
260: 
261:             // transformed parameters
262:             current_statement_begin__ = 13;
263:             local_scalar_t__ alpha;
264:             (void) alpha;  // dummy to suppress unused var warning
265:             stan::math::initialize(alpha, DUMMY_VAR__);
266:             stan::math::fill(alpha, DUMMY_VAR__);
267: 
268:             current_statement_begin__ = 14;
269:             local_scalar_t__ beta;
270:             (void) beta;  // dummy to suppress unused var warning
271:             stan::math::initialize(beta, DUMMY_VAR__);
272:             stan::math::fill(beta, DUMMY_VAR__);
273: 
274:             // transformed parameters block statements
275:             current_statement_begin__ = 15;
276:             stan::math::assign(alpha, (lambda * kappa));
277:             current_statement_begin__ = 16;
278:             stan::math::assign(beta, ((1 - lambda) * kappa));
279: 
280:             // validate transformed parameters
281:             const char* function__ = "validate transformed params";
282:             (void) function__;  // dummy to suppress unused var warning
283: 
284:             current_statement_begin__ = 13;
285:             if (stan::math::is_uninitialized(alpha)) {
286:                 std::stringstream msg__;
287:                 msg__ << "Undefined transformed parameter: alpha";
288:                 stan::lang::rethrow_located(std::runtime_error(std::string("Error initializing variable alpha: ") + msg__.str()), current_statement_begin__, prog_reader__());
289:             }
290:             check_greater_or_equal(function__, "alpha", alpha, 0);
291: 
292:             current_statement_begin__ = 14;
293:             if (stan::math::is_uninitialized(beta)) {
294:                 std::stringstream msg__;
295:                 msg__ << "Undefined transformed parameter: beta";
296:                 stan::lang::rethrow_located(std::runtime_error(std::string("Error initializing variable beta: ") + msg__.str()), current_statement_begin__, prog_reader__());
297:             }
298:             check_greater_or_equal(function__, "beta", beta, 0);
299: 
300: 
301:             // model body
302: 
303:             current_statement_begin__ = 19;
304:             lp_accum__.add(pareto_log<propto__>(lambda, 0.1, 1.5));
305:             current_statement_begin__ = 20;
306:             lp_accum__.add(pareto_log<propto__>(kappa, 0.1, 1.5));
307:             current_statement_begin__ = 21;
308:             lp_accum__.add(beta_log<propto__>(theta, alpha, beta));
309:             current_statement_begin__ = 22;
310:             lp_accum__.add(binomial_log<propto__>(y, n, theta));
311: 
312:         } catch (const std::exception& e) {
313:             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
314:             // Next line prevents compiler griping about no return
315:             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
316:         }
317: 
318:         lp_accum__.add(lp__);
319:         return lp_accum__.sum();
320: 
321:     } // log_prob()
322: 
323:     template <bool propto, bool jacobian, typename T_>
324:     T_ log_prob(Eigen::Matrix<T_,Eigen::Dynamic,1>& params_r,
325:                std::ostream* pstream = 0) const {
326:       std::vector<T_> vec_params_r;
327:       vec_params_r.reserve(params_r.size());
328:       for (int i = 0; i < params_r.size(); ++i)
329:         vec_params_r.push_back(params_r(i));
330:       std::vector<int> vec_params_i;
331:       return log_prob<propto,jacobian,T_>(vec_params_r, vec_params_i, pstream);
332:     }
333: 
334: 
335:     void get_param_names(std::vector<std::string>& names__) const {
336:         names__.resize(0);
337:         names__.push_back("theta");
338:         names__.push_back("lambda");
339:         names__.push_back("kappa");
340:         names__.push_back("alpha");
341:         names__.push_back("beta");
342:         names__.push_back("avg");
343:         names__.push_back("above_avg");
344:         names__.push_back("rnk");
345:         names__.push_back("highest");
346:     }
347: 
348: 
349:     void get_dims(std::vector<std::vector<size_t> >& dimss__) const {
350:         dimss__.resize(0);
351:         std::vector<size_t> dims__;
352:         dims__.resize(0);
353:         dims__.push_back(J);
354:         dimss__.push_back(dims__);
355:         dims__.resize(0);
356:         dimss__.push_back(dims__);
357:         dims__.resize(0);
358:         dimss__.push_back(dims__);
359:         dims__.resize(0);
360:         dimss__.push_back(dims__);
361:         dims__.resize(0);
362:         dimss__.push_back(dims__);
363:         dims__.resize(0);
364:         dimss__.push_back(dims__);
365:         dims__.resize(0);
366:         dims__.push_back(J);
367:         dimss__.push_back(dims__);
368:         dims__.resize(0);
369:         dims__.push_back(J);
370:         dimss__.push_back(dims__);
371:         dims__.resize(0);
372:         dims__.push_back(J);
373:         dimss__.push_back(dims__);
374:     }
375: 
376:     template <typename RNG>
377:     void write_array(RNG& base_rng__,
378:                      std::vector<double>& params_r__,
379:                      std::vector<int>& params_i__,
380:                      std::vector<double>& vars__,
381:                      bool include_tparams__ = true,
382:                      bool include_gqs__ = true,
383:                      std::ostream* pstream__ = 0) const {
384:         typedef double local_scalar_t__;
385: 
386:         vars__.resize(0);
387:         stan::io::reader<local_scalar_t__> in__(params_r__, params_i__);
388:         static const char* function__ = "model221868293dcf_flights_model3_namespace::write_array";
389:         (void) function__;  // dummy to suppress unused var warning
390: 
391:         // read-transform, write parameters
392:         std::vector<double> theta;
393:         size_t theta_d_0_max__ = J;
394:         theta.reserve(theta_d_0_max__);
395:         for (size_t d_0__ = 0; d_0__ < theta_d_0_max__; ++d_0__) {
396:             theta.push_back(in__.scalar_lub_constrain(0, 1));
397:         }
398:         size_t theta_k_0_max__ = J;
399:         for (size_t k_0__ = 0; k_0__ < theta_k_0_max__; ++k_0__) {
400:             vars__.push_back(theta[k_0__]);
401:         }
402: 
403:         double lambda = in__.scalar_lub_constrain(0.01, 1);
404:         vars__.push_back(lambda);
405: 
406:         double kappa = in__.scalar_lb_constrain(0.10);
407:         vars__.push_back(kappa);
408: 
409:         double lp__ = 0.0;
410:         (void) lp__;  // dummy to suppress unused var warning
411:         stan::math::accumulator<double> lp_accum__;
412: 
413:         local_scalar_t__ DUMMY_VAR__(std::numeric_limits<double>::quiet_NaN());
414:         (void) DUMMY_VAR__;  // suppress unused var warning
415: 
416:         if (!include_tparams__ && !include_gqs__) return;
417: 
418:         try {
419:             // declare and define transformed parameters
420:             current_statement_begin__ = 13;
421:             double alpha;
422:             (void) alpha;  // dummy to suppress unused var warning
423:             stan::math::initialize(alpha, DUMMY_VAR__);
424:             stan::math::fill(alpha, DUMMY_VAR__);
425: 
426:             current_statement_begin__ = 14;
427:             double beta;
428:             (void) beta;  // dummy to suppress unused var warning
429:             stan::math::initialize(beta, DUMMY_VAR__);
430:             stan::math::fill(beta, DUMMY_VAR__);
431: 
432:             // do transformed parameters statements
433:             current_statement_begin__ = 15;
434:             stan::math::assign(alpha, (lambda * kappa));
435:             current_statement_begin__ = 16;
436:             stan::math::assign(beta, ((1 - lambda) * kappa));
437: 
438:             if (!include_gqs__ && !include_tparams__) return;
439:             // validate transformed parameters
440:             const char* function__ = "validate transformed params";
441:             (void) function__;  // dummy to suppress unused var warning
442: 
443:             current_statement_begin__ = 13;
444:             check_greater_or_equal(function__, "alpha", alpha, 0);
445: 
446:             current_statement_begin__ = 14;
447:             check_greater_or_equal(function__, "beta", beta, 0);
448: 
449:             // write transformed parameters
450:             if (include_tparams__) {
451:                 vars__.push_back(alpha);
452:                 vars__.push_back(beta);
453:             }
454:             if (!include_gqs__) return;
455:             // declare and define generated quantities
456:             current_statement_begin__ = 27;
457:             double avg;
458:             (void) avg;  // dummy to suppress unused var warning
459:             stan::math::initialize(avg, DUMMY_VAR__);
460:             stan::math::fill(avg, DUMMY_VAR__);
461: 
462:             current_statement_begin__ = 28;
463:             validate_non_negative_index("above_avg", "J", J);
464:             std::vector<int> above_avg(J, int(0));
465:             stan::math::fill(above_avg, std::numeric_limits<int>::min());
466: 
467:             current_statement_begin__ = 29;
468:             validate_non_negative_index("rnk", "J", J);
469:             std::vector<int> rnk(J, int(0));
470:             stan::math::fill(rnk, std::numeric_limits<int>::min());
471: 
472:             current_statement_begin__ = 30;
473:             validate_non_negative_index("highest", "J", J);
474:             std::vector<int> highest(J, int(0));
475:             stan::math::fill(highest, std::numeric_limits<int>::min());
476: 
477:             // generated quantities statements
478:             current_statement_begin__ = 31;
479:             stan::math::assign(avg, mean(theta));
480:             current_statement_begin__ = 32;
481:             for (int j = 1; j <= J; ++j) {
482:                 current_statement_begin__ = 33;
483:                 stan::model::assign(above_avg, 
484:                             stan::model::cons_list(stan::model::index_uni(j), stan::model::nil_index_list()), 
485:                             logical_gt(get_base1(theta, j, "theta", 1), avg), 
486:                             "assigning variable above_avg");
487:             }
488:             current_statement_begin__ = 34;
489:             for (int j = 1; j <= J; ++j) {
490: 
491:                 current_statement_begin__ = 35;
492:                 stan::model::assign(rnk, 
493:                             stan::model::cons_list(stan::model::index_uni(j), stan::model::nil_index_list()), 
494:                             (rank(theta, j) + 1), 
495:                             "assigning variable rnk");
496:                 current_statement_begin__ = 36;
497:                 stan::model::assign(highest, 
498:                             stan::model::cons_list(stan::model::index_uni(j), stan::model::nil_index_list()), 
499:                             logical_eq(get_base1(rnk, j, "rnk", 1), 1), 
500:                             "assigning variable highest");
501:             }
502: 
503:             // validate, write generated quantities
504:             current_statement_begin__ = 27;
505:             check_greater_or_equal(function__, "avg", avg, 0);
506:             check_less_or_equal(function__, "avg", avg, 1);
507: 
508:             vars__.push_back(avg);
509: 
510:             current_statement_begin__ = 28;
511:             size_t above_avg_i_0_max__ = J;
512:             for (size_t i_0__ = 0; i_0__ < above_avg_i_0_max__; ++i_0__) {
513:                 check_greater_or_equal(function__, "above_avg[i_0__]", above_avg[i_0__], 0);
514:                 check_less_or_equal(function__, "above_avg[i_0__]", above_avg[i_0__], 1);
515:             }
516: 
517:             size_t above_avg_k_0_max__ = J;
518:             for (size_t k_0__ = 0; k_0__ < above_avg_k_0_max__; ++k_0__) {
519:                 vars__.push_back(above_avg[k_0__]);
520:             }
521: 
522:             current_statement_begin__ = 29;
523:             size_t rnk_i_0_max__ = J;
524:             for (size_t i_0__ = 0; i_0__ < rnk_i_0_max__; ++i_0__) {
525:                 check_greater_or_equal(function__, "rnk[i_0__]", rnk[i_0__], 1);
526:                 check_less_or_equal(function__, "rnk[i_0__]", rnk[i_0__], J);
527:             }
528: 
529:             size_t rnk_k_0_max__ = J;
530:             for (size_t k_0__ = 0; k_0__ < rnk_k_0_max__; ++k_0__) {
531:                 vars__.push_back(rnk[k_0__]);
532:             }
533: 
534:             current_statement_begin__ = 30;
535:             size_t highest_i_0_max__ = J;
536:             for (size_t i_0__ = 0; i_0__ < highest_i_0_max__; ++i_0__) {
537:                 check_greater_or_equal(function__, "highest[i_0__]", highest[i_0__], 0);
538:                 check_less_or_equal(function__, "highest[i_0__]", highest[i_0__], 1);
539:             }
540: 
541:             size_t highest_k_0_max__ = J;
542:             for (size_t k_0__ = 0; k_0__ < highest_k_0_max__; ++k_0__) {
543:                 vars__.push_back(highest[k_0__]);
544:             }
545: 
546:         } catch (const std::exception& e) {
547:             stan::lang::rethrow_located(e, current_statement_begin__, prog_reader__());
548:             // Next line prevents compiler griping about no return
549:             throw std::runtime_error("*** IF YOU SEE THIS, PLEASE REPORT A BUG ***");
550:         }
551:     }
552: 
553:     template <typename RNG>
554:     void write_array(RNG& base_rng,
555:                      Eigen::Matrix<double,Eigen::Dynamic,1>& params_r,
556:                      Eigen::Matrix<double,Eigen::Dynamic,1>& vars,
557:                      bool include_tparams = true,
558:                      bool include_gqs = true,
559:                      std::ostream* pstream = 0) const {
560:       std::vector<double> params_r_vec(params_r.size());
561:       for (int i = 0; i < params_r.size(); ++i)
562:         params_r_vec[i] = params_r(i);
563:       std::vector<double> vars_vec;
564:       std::vector<int> params_i_vec;
565:       write_array(base_rng, params_r_vec, params_i_vec, vars_vec, include_tparams, include_gqs, pstream);
566:       vars.resize(vars_vec.size());
567:       for (int i = 0; i < vars.size(); ++i)
568:         vars(i) = vars_vec[i];
569:     }
570: 
571:     std::string model_name() const {
572:         return "model221868293dcf_flights_model3";
573:     }
574: 
575: 
576:     void constrained_param_names(std::vector<std::string>& param_names__,
577:                                  bool include_tparams__ = true,
578:                                  bool include_gqs__ = true) const {
579:         std::stringstream param_name_stream__;
580:         size_t theta_k_0_max__ = J;
581:         for (size_t k_0__ = 0; k_0__ < theta_k_0_max__; ++k_0__) {
582:             param_name_stream__.str(std::string());
583:             param_name_stream__ << "theta" << '.' << k_0__ + 1;
584:             param_names__.push_back(param_name_stream__.str());
585:         }
586:         param_name_stream__.str(std::string());
587:         param_name_stream__ << "lambda";
588:         param_names__.push_back(param_name_stream__.str());
589:         param_name_stream__.str(std::string());
590:         param_name_stream__ << "kappa";
591:         param_names__.push_back(param_name_stream__.str());
592: 
593:         if (!include_gqs__ && !include_tparams__) return;
594: 
595:         if (include_tparams__) {
596:             param_name_stream__.str(std::string());
597:             param_name_stream__ << "alpha";
598:             param_names__.push_back(param_name_stream__.str());
599:             param_name_stream__.str(std::string());
600:             param_name_stream__ << "beta";
601:             param_names__.push_back(param_name_stream__.str());
602:         }
603: 
604:         if (!include_gqs__) return;
605:         param_name_stream__.str(std::string());
606:         param_name_stream__ << "avg";
607:         param_names__.push_back(param_name_stream__.str());
608:         size_t above_avg_k_0_max__ = J;
609:         for (size_t k_0__ = 0; k_0__ < above_avg_k_0_max__; ++k_0__) {
610:             param_name_stream__.str(std::string());
611:             param_name_stream__ << "above_avg" << '.' << k_0__ + 1;
612:             param_names__.push_back(param_name_stream__.str());
613:         }
614:         size_t rnk_k_0_max__ = J;
615:         for (size_t k_0__ = 0; k_0__ < rnk_k_0_max__; ++k_0__) {
616:             param_name_stream__.str(std::string());
617:             param_name_stream__ << "rnk" << '.' << k_0__ + 1;
618:             param_names__.push_back(param_name_stream__.str());
619:         }
620:         size_t highest_k_0_max__ = J;
621:         for (size_t k_0__ = 0; k_0__ < highest_k_0_max__; ++k_0__) {
622:             param_name_stream__.str(std::string());
623:             param_name_stream__ << "highest" << '.' << k_0__ + 1;
624:             param_names__.push_back(param_name_stream__.str());
625:         }
626:     }
627: 
628: 
629:     void unconstrained_param_names(std::vector<std::string>& param_names__,
630:                                    bool include_tparams__ = true,
631:                                    bool include_gqs__ = true) const {
632:         std::stringstream param_name_stream__;
633:         size_t theta_k_0_max__ = J;
634:         for (size_t k_0__ = 0; k_0__ < theta_k_0_max__; ++k_0__) {
635:             param_name_stream__.str(std::string());
636:             param_name_stream__ << "theta" << '.' << k_0__ + 1;
637:             param_names__.push_back(param_name_stream__.str());
638:         }
639:         param_name_stream__.str(std::string());
640:         param_name_stream__ << "lambda";
641:         param_names__.push_back(param_name_stream__.str());
642:         param_name_stream__.str(std::string());
643:         param_name_stream__ << "kappa";
644:         param_names__.push_back(param_name_stream__.str());
645: 
646:         if (!include_gqs__ && !include_tparams__) return;
647: 
648:         if (include_tparams__) {
649:             param_name_stream__.str(std::string());
650:             param_name_stream__ << "alpha";
651:             param_names__.push_back(param_name_stream__.str());
652:             param_name_stream__.str(std::string());
653:             param_name_stream__ << "beta";
654:             param_names__.push_back(param_name_stream__.str());
655:         }
656: 
657:         if (!include_gqs__) return;
658:         param_name_stream__.str(std::string());
659:         param_name_stream__ << "avg";
660:         param_names__.push_back(param_name_stream__.str());
661:         size_t above_avg_k_0_max__ = J;
662:         for (size_t k_0__ = 0; k_0__ < above_avg_k_0_max__; ++k_0__) {
663:             param_name_stream__.str(std::string());
664:             param_name_stream__ << "above_avg" << '.' << k_0__ + 1;
665:             param_names__.push_back(param_name_stream__.str());
666:         }
667:         size_t rnk_k_0_max__ = J;
668:         for (size_t k_0__ = 0; k_0__ < rnk_k_0_max__; ++k_0__) {
669:             param_name_stream__.str(std::string());
670:             param_name_stream__ << "rnk" << '.' << k_0__ + 1;
671:             param_names__.push_back(param_name_stream__.str());
672:         }
673:         size_t highest_k_0_max__ = J;
674:         for (size_t k_0__ = 0; k_0__ < highest_k_0_max__; ++k_0__) {
675:             param_name_stream__.str(std::string());
676:             param_name_stream__ << "highest" << '.' << k_0__ + 1;
677:             param_names__.push_back(param_name_stream__.str());
678:         }
679:     }
680: 
681: }; // model
682: 
683: }  // namespace
684: 
685: typedef model221868293dcf_flights_model3_namespace::model221868293dcf_flights_model3 stan_model;
686: 
687: #ifndef USING_R
688: 
689: stan::model::model_base& new_model(
690:         stan::io::var_context& data_context,
691:         unsigned int seed,
692:         std::ostream* msg_stream) {
693:   stan_model* m = new stan_model(data_context, seed, msg_stream);
694:   return *m;
695: }
696: 
697: #endif
698: 
699: 
700: 
701: #include <rstan_next/stan_fit.hpp>
702: 
703: struct stan_model_holder {
704:     stan_model_holder(rstan::io::rlist_ref_var_context rcontext,
705:                       unsigned int random_seed)
706:     : rcontext_(rcontext), random_seed_(random_seed)
707:      {
708:      }
709: 
710:    //stan::math::ChainableStack ad_stack;
711:    rstan::io::rlist_ref_var_context rcontext_;
712:    unsigned int random_seed_;
713: };
714: 
715: Rcpp::XPtr<stan::model::model_base> model_ptr(stan_model_holder* smh) {
716:   Rcpp::XPtr<stan::model::model_base> model_instance(new stan_model(smh->rcontext_, smh->random_seed_), true);
717:   return model_instance;
718: }
719: 
720: Rcpp::XPtr<rstan::stan_fit_base> fit_ptr(stan_model_holder* smh) {
721:   return Rcpp::XPtr<rstan::stan_fit_base>(new rstan::stan_fit(model_ptr(smh), smh->random_seed_), true);
722: }
723: 
724: std::string model_name(stan_model_holder* smh) {
725:   return model_ptr(smh).get()->model_name();
726: }
727: 
728: RCPP_MODULE(stan_fit4model221868293dcf_flights_model3_mod){
729:   Rcpp::class_<stan_model_holder>("stan_fit4model221868293dcf_flights_model3")
730:   .constructor<rstan::io::rlist_ref_var_context, unsigned int>()
731:   .method("model_ptr", &model_ptr)
732:   .method("fit_ptr", &fit_ptr)
733:   .method("model_name", &model_name)
734:   ;
735: }
736: 
737: 
738: // declarations
739: extern "C" {
740: SEXP file2218124d32ff( ) ;
741: }
742: 
743: // definition
744: 
745: SEXP file2218124d32ff(  ){
746:  return Rcpp::wrap("flights_model3");
747: }
748: 
749: 
Error in compileCode(f, code, language = language, verbose = verbose) : 
  Compilation ERROR, function(s)/method(s) not created! C:/rtools40/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/8.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe: file2218124d32ff.o:file2218124d32ff.cpp:(.text+0x85c): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
C:/rtools40/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/8.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe: file2218124d32ff.o:file2218124d32ff.cpp:(.text+0x17e7): undefined reference to `rstan::stan_fit::stan_fit(SEXPREC*, int)'
C:/rtools40/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/8.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe: file2218124d32ff.o:file2218124d32ff.cpp:(.text+0x89e): undefined reference to `tbb::internal::task_scheduler_observer_v3::observe(bool)'
C:/rtools40/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/8.3.0/../../../../x86_64-w64-mingw32/bin/ld.exe: file2218124d32ff.o:file2218124d32ff.cpp:(.text$_ZN3tbb8internal26task_scheduler_observer_v3D1Ev[_ZN3tbb8internal26task_scheduler
In addition: Warning message:
In file.remove(c(unprocessed, processed)) :
  cannot remove file 'C:\Users\TSCHWO~1\AppData\Local\Temp\Rtmpq6xOc6\file2218447934c0.stan', reason 'No such file or directory'