Automatic Differentiation
 
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rayleigh_log.hpp
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1#ifndef STAN_MATH_PRIM_PROB_RAYLEIGH_LOG_HPP
2#define STAN_MATH_PRIM_PROB_RAYLEIGH_LOG_HPP
3
6
7namespace stan {
8namespace math {
9
13template <bool propto, typename T_y, typename T_scale>
14return_type_t<T_y, T_scale> rayleigh_log(const T_y& y, const T_scale& sigma) {
15 return rayleigh_lpdf<propto, T_y, T_scale>(y, sigma);
16}
17
21template <typename T_y, typename T_scale>
23 const T_scale& sigma) {
24 return rayleigh_lpdf<T_y, T_scale>(y, sigma);
25}
26
27} // namespace math
28} // namespace stan
29#endif
return_type_t< T_y, T_scale > rayleigh_log(const T_y &y, 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