Automatic Differentiation
 
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multi_student_t_log.hpp
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1#ifndef STAN_MATH_PRIM_PROB_MULTI_STUDENT_T_LOG_HPP
2#define STAN_MATH_PRIM_PROB_MULTI_STUDENT_T_LOG_HPP
3
6
7namespace stan {
8namespace math {
9
18template <bool propto, typename T_y, typename T_dof, typename T_loc,
19 typename T_scale>
21 const T_y& y, const T_dof& nu, const T_loc& mu, const T_scale& Sigma) {
22 return multi_student_t_lpdf<propto, T_y, T_dof, T_loc, T_scale>(y, nu, mu,
23 Sigma);
24}
25
29template <typename T_y, typename T_dof, typename T_loc, typename T_scale>
31 const T_y& y, const T_dof& nu, const T_loc& mu, const T_scale& Sigma) {
32 return multi_student_t_lpdf<T_y, T_dof, T_loc, T_scale>(y, nu, mu, Sigma);
33}
34
35} // namespace math
36} // namespace stan
37#endif
return_type_t< T_y, T_dof, T_loc, T_scale > multi_student_t_log(const T_y &y, const T_dof &nu, const T_loc &mu, const T_scale &Sigma)
Return the log of the multivariate Student t distribution at the specified arguments.
typename return_type< Ts... >::type return_type_t
Convenience type for the return type of the specified template parameters.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Definition fvar.hpp:9