Automatic Differentiation
 
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normal_sufficient_log.hpp
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1#ifndef STAN_MATH_PRIM_PROB_NORMAL_SUFFICIENT_LOG_HPP
2#define STAN_MATH_PRIM_PROB_NORMAL_SUFFICIENT_LOG_HPP
3
6
7namespace stan {
8namespace math {
9
13template <bool propto, typename T_y, typename T_s, typename T_n, typename T_loc,
14 typename T_scale>
16 const T_y& y_bar, const T_s& s_squared, const T_n& n_obs, const T_loc& mu,
17 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
25template <typename T_y, typename T_s, typename T_n, typename T_loc,
26 typename T_scale>
28 const T_y& y_bar, const T_s& s_squared, const T_n& n_obs, const T_loc& mu,
29 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
return_type_t< T_y, T_s, T_loc, T_scale > 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)
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