Stan Math Library  2.20.0
reverse mode automatic differentiation
student_t_log.hpp
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1 #ifndef STAN_MATH_PRIM_SCAL_PROB_STUDENT_T_LOG_HPP
2 #define STAN_MATH_PRIM_SCAL_PROB_STUDENT_T_LOG_HPP
3 
6 
7 namespace stan {
8 namespace math {
9 
40 template <bool propto, typename T_y, typename T_dof, typename T_loc,
41  typename T_scale>
43  const T_y& y, const T_dof& nu, const T_loc& mu, const T_scale& sigma) {
44  return student_t_lpdf<propto, T_y, T_dof, T_loc, T_scale>(y, nu, mu, sigma);
45 }
46 
50 template <typename T_y, typename T_dof, typename T_loc, typename T_scale>
52  const T_y& y, const T_dof& nu, const T_loc& mu, const T_scale& sigma) {
53  return student_t_lpdf<T_y, T_dof, T_loc, T_scale>(y, nu, mu, sigma);
54 }
55 
56 } // namespace math
57 } // namespace stan
58 #endif
boost::math::tools::promote_args< double, typename scalar_type< T >::type, typename return_type< Types_pack... >::type >::type type
Definition: return_type.hpp:36
return_type< T_y, T_dof, T_loc, T_scale >::type 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.

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