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Stan Math Library
5.1.0
Automatic Differentiation
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#include <stan/math/prim/meta.hpp>#include <stan/math/prim/err.hpp>#include <stan/math/prim/fun/as_column_vector_or_scalar.hpp>#include <stan/math/prim/fun/constants.hpp>#include <stan/math/prim/fun/is_inf.hpp>#include <stan/math/prim/fun/log.hpp>#include <stan/math/prim/fun/log1p.hpp>#include <stan/math/prim/fun/lgamma.hpp>#include <stan/math/prim/fun/max_size_mvt.hpp>#include <stan/math/prim/fun/size_mvt.hpp>#include <stan/math/prim/fun/to_ref.hpp>#include <stan/math/prim/fun/vector_seq_view.hpp>#include <cmath>#include <cstdlib>Go to the source code of this file.
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::math |
| Matrices and templated mathematical functions. | |
Functions | |
| template<bool propto, typename T_y , typename T_dof , typename T_loc , typename T_scale > | |
| return_type_t< T_y, T_dof, T_loc, T_scale > | stan::math::multi_student_t_lpdf (const T_y &y, const T_dof &nu, const T_loc &mu, const T_scale &Sigma) |
| The log of the multivariate student t density for the given y, mu, nu, and scale matrix. | |
| template<typename T_y , typename T_dof , typename T_loc , typename T_scale > | |
| return_type_t< T_y, T_dof, T_loc, T_scale > | stan::math::multi_student_t_lpdf (const T_y &y, const T_dof &nu, const T_loc &mu, const T_scale &Sigma) |