Stan Math Library  2.20.0
reverse mode automatic differentiation
normal_sufficient_log.hpp
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1 #ifndef STAN_MATH_PRIM_SCAL_PROB_NORMAL_SUFFICIENT_LOG_HPP
2 #define STAN_MATH_PRIM_SCAL_PROB_NORMAL_SUFFICIENT_LOG_HPP
3 
6 
7 namespace stan {
8 namespace math {
9 
13 template <bool propto, typename T_y, typename T_s, typename T_n, typename T_loc,
14  typename T_scale>
16 normal_sufficient_log(const T_y& y_bar, const T_s& s_squared, const T_n& n_obs,
17  const T_loc& mu, const T_scale& sigma) {
18  return normal_sufficient_lpdf<propto, T_y, T_s, T_n, T_loc, T_scale>(
19  y_bar, s_squared, n_obs, mu, sigma);
20 }
21 
25 template <typename T_y, typename T_s, typename T_n, typename T_loc,
26  typename T_scale>
28 normal_sufficient_log(const T_y& y_bar, const T_s& s_squared, const T_n& n_obs,
29  const T_loc& mu, const T_scale& sigma) {
30  return normal_sufficient_lpdf<T_y, T_s, T_n, T_loc, T_scale>(
31  y_bar, s_squared, n_obs, mu, sigma);
32 }
33 
34 } // namespace math
35 } // namespace stan
36 #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_s, T_loc, T_scale >::type normal_sufficient_log(const T_y &y_bar, const T_s &s_squared, const T_n &n_obs, const T_loc &mu, const T_scale &sigma)

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