Stan Math Library  2.15.0
reverse mode automatic differentiation
multi_student_t_log.hpp
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1 #ifndef STAN_MATH_PRIM_MAT_PROB_MULTI_STUDENT_T_LOG_HPP
2 #define STAN_MATH_PRIM_MAT_PROB_MULTI_STUDENT_T_LOG_HPP
3 
6 
7 namespace stan {
8  namespace math {
9 
18  template <bool propto,
19  typename T_y, typename T_dof, typename T_loc, typename T_scale>
21  multi_student_t_log(const T_y& y,
22  const T_dof& nu,
23  const T_loc& mu,
24  const T_scale& Sigma) {
25  return multi_student_t_lpdf<propto,
26  T_y, T_dof, T_loc, T_scale>(y, nu, mu, Sigma);
27  }
28 
32  template <typename T_y, typename T_dof, typename T_loc, typename T_scale>
33  inline
35  multi_student_t_log(const T_y& y, const T_dof& nu, const T_loc& mu,
36  const T_scale& Sigma) {
37  return multi_student_t_lpdf<T_y, T_dof, T_loc, T_scale>(y, nu, mu, Sigma);
38  }
39 
40  }
41 }
42 #endif
boost::math::tools::promote_args< typename scalar_type< T1 >::type, typename scalar_type< T2 >::type, typename scalar_type< T3 >::type, typename scalar_type< T4 >::type, typename scalar_type< T5 >::type, typename scalar_type< T6 >::type >::type type
Definition: return_type.hpp:27
return_type< T_y, T_dof, T_loc, T_scale >::type multi_student_t_lpdf(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.
return_type< T_y, T_dof, T_loc, T_scale >::type 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.

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