Stan Math Library
5.0.0
Automatic Differentiation
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#include <stan/math/rev/core/var.hpp>
#include <stan/math/rev/meta/is_var.hpp>
#include <stan/math/prim/meta/conjunction.hpp>
#include <stan/math/prim/meta/disjunction.hpp>
#include <stan/math/prim/meta/is_rev_matrix.hpp>
#include <stan/math/prim/meta/is_eigen.hpp>
#include <type_traits>
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Classes | |
struct | stan::is_rev_matrix< T, require_all_t< is_var< scalar_type_t< T > >, math::disjunction< math::conjunction< is_var< T >, is_eigen< value_type_t< T > > >, is_eigen< T > > > > |
Defines a static member named value which is defined to be true if the type is either a type derived from Eigen::EigenBase with a Scalar type of var_value<double> or a var_value<T> where T is derived from Eigen::EigenBase More... | |
struct | stan::is_rev_col_vector< T, require_all_t< is_var< scalar_type_t< T > >, math::disjunction< is_eigen_col_vector< T >, is_eigen_col_vector< value_type_t< T > > > > > |
Defines a static member named value which is defined to be true if the type is either a type derived from Eigen::EigenBase with a Scalar type of var_value<double> or a var_value<T> where T is derived from Eigen::EigenBase . More... | |
struct | stan::is_rev_row_vector< T, require_all_t< is_var< scalar_type_t< T > >, math::disjunction< is_eigen_row_vector< T >, is_eigen_row_vector< value_type_t< T > > > > > |
Defines a static member named value which is defined to be true if the type is either a type derived from Eigen::EigenBase with a Scalar type of var_value<double> or a var_value<T> where T is derived from Eigen::EigenBase . More... | |
struct | stan::is_rev_vector< T, require_any_t< is_rev_col_vector< T >, is_rev_row_vector< T > > > |
Defines a static member named value which is defined to be true if the type is either a type derived from Eigen::EigenBase with a Scalar type of var_value<double> or a var_value<T> where T is derived from Eigen::EigenBase . 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. | |