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Stan
2.5.0
probability, sampling & optimization
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#include <boost/random/student_t_distribution.hpp>#include <boost/random/variate_generator.hpp>#include <stan/agrad/partials_vari.hpp>#include <stan/math/error_handling.hpp>#include <stan/math/constants.hpp>#include <stan/math/functions/square.hpp>#include <stan/math/functions/value_of.hpp>#include <stan/meta/traits.hpp>#include <stan/prob/constants.hpp>#include <stan/prob/traits.hpp>#include <stan/prob/internal_math.hpp>Go to the source code of this file.
Namespaces | |
| stan | |
| Probability, optimization and sampling library. | |
| stan::prob | |
| Templated probability distributions. | |
Functions | |
| template<bool propto, typename T_y , typename T_dof , typename T_loc , typename T_scale > | |
| return_type< T_y, T_dof, T_loc, T_scale >::type | stan::prob::student_t_log (const T_y &y, const T_dof &nu, const T_loc &mu, const T_scale &sigma) |
| The log of the Student-t density for the given y, nu, mean, and scale parameter. More... | |
| template<typename T_y , typename T_dof , typename T_loc , typename T_scale > | |
| return_type< T_y, T_dof, T_loc, T_scale >::type | stan::prob::student_t_log (const T_y &y, const T_dof &nu, const T_loc &mu, const T_scale &sigma) |
| template<typename T_y , typename T_dof , typename T_loc , typename T_scale > | |
| return_type< T_y, T_dof, T_loc, T_scale >::type | stan::prob::student_t_cdf (const T_y &y, const T_dof &nu, const T_loc &mu, const T_scale &sigma) |
| template<typename T_y , typename T_dof , typename T_loc , typename T_scale > | |
| return_type< T_y, T_dof, T_loc, T_scale >::type | stan::prob::student_t_cdf_log (const T_y &y, const T_dof &nu, const T_loc &mu, const T_scale &sigma) |
| template<typename T_y , typename T_dof , typename T_loc , typename T_scale > | |
| return_type< T_y, T_dof, T_loc, T_scale >::type | stan::prob::student_t_ccdf_log (const T_y &y, const T_dof &nu, const T_loc &mu, const T_scale &sigma) |
| template<class RNG > | |
| double | stan::prob::student_t_rng (const double nu, const double mu, const double sigma, RNG &rng) |