Automatic Differentiation
 
Loading...
Searching...
No Matches
cauchy_log.hpp
Go to the documentation of this file.
1#ifndef STAN_MATH_PRIM_PROB_CAUCHY_LOG_HPP
2#define STAN_MATH_PRIM_PROB_CAUCHY_LOG_HPP
3
6
7namespace stan {
8namespace math {
9
29template <bool propto, typename T_y, typename T_loc, typename T_scale>
30return_type_t<T_y, T_loc, T_scale> cauchy_log(const T_y& y, const T_loc& mu,
31 const T_scale& sigma) {
32 return cauchy_lpdf<propto, T_y, T_loc, T_scale>(y, mu, sigma);
33}
34
38template <typename T_y, typename T_loc, typename T_scale>
40 const T_loc& mu,
41 const T_scale& sigma) {
42 return cauchy_lpdf<T_y, T_loc, T_scale>(y, mu, sigma);
43}
44
45} // namespace math
46} // namespace stan
47#endif
return_type_t< T_y, T_loc, T_scale > cauchy_log(const T_y &y, const T_loc &mu, const T_scale &sigma)
The log of the Cauchy density for the specified scalar(s) given the specified location parameter(s) a...
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