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Stan Math Library
5.1.0
Automatic Differentiation
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Go to the source code of this file.
Classes | |
| class | stan::vector_seq_view< T, require_t< internal::is_scalar_container< T > > > |
| This class provides a low-cost wrapper for situations where you either need an Eigen Vector or RowVector or a std::vector of them and you want to be agnostic between those two options. More... | |
| class | stan::vector_seq_view< T, require_std_vector_vt< internal::is_matrix_or_std_vector, T > > |
| This class provides a low-cost wrapper for situations where you either need an Eigen Vector or RowVector or a std::vector of them and you want to be agnostic between those two options. More... | |
Namespaces | |
| namespace | stan |
| The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation. | |
| namespace | stan::internal |
Typedefs | |
| template<typename T > | |
| using | stan::internal::is_matrix_or_std_vector = math::disjunction< is_matrix< T >, is_std_vector< T > > |
| template<typename T > | |
| using | stan::internal::is_scalar_container = math::disjunction< is_matrix< T >, math::conjunction< is_std_vector< T >, is_stan_scalar< value_type_t< T > > > > |