Automatic Differentiation
 
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beta_proportion_log.hpp
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1#ifndef STAN_MATH_PRIM_PROB_BETA_PROPORTION_LOG_HPP
2#define STAN_MATH_PRIM_PROB_BETA_PROPORTION_LOG_HPP
3
6
7namespace stan {
8namespace math {
9
13template <bool propto, typename T_y, typename T_loc, typename T_prec>
15 const T_loc& mu,
16 const T_prec& kappa) {
17 return beta_proportion_lpdf<propto, T_y, T_loc, T_prec>(y, mu, kappa);
18}
19
23template <typename T_y, typename T_loc, typename T_prec>
25 const T_y& y, const T_loc& mu, const T_prec& kappa) {
26 return beta_proportion_lpdf<T_y, T_loc, T_prec>(y, mu, kappa);
27}
28
29} // namespace math
30} // namespace stan
31#endif
return_type_t< T_y, T_loc, T_prec > beta_proportion_log(const T_y &y, const T_loc &mu, const T_prec &kappa)
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