Automatic Differentiation
 
Loading...
Searching...
No Matches
lkj_cov_log.hpp
Go to the documentation of this file.
1#ifndef STAN_MATH_PRIM_PROB_LKJ_COV_LOG_HPP
2#define STAN_MATH_PRIM_PROB_LKJ_COV_LOG_HPP
3
7
8namespace stan {
9namespace math {
10
14template <bool propto, typename T_y, typename T_loc, typename T_scale,
15 typename T_shape>
17 const T_y& y, const T_loc& mu, const T_scale& sigma, const T_shape& eta) {
18 return lkj_cov_lpdf<propto>(y, mu, sigma, eta);
19}
20
24template <typename T_y, typename T_loc, typename T_scale, typename T_shape>
26 const T_y& y, const T_loc& mu, const T_scale& sigma, const T_shape& eta) {
27 return lkj_cov_lpdf<>(y, mu, sigma, eta);
28}
29
30} // namespace math
31} // namespace stan
32#endif
return_type_t< T_y, T_loc, T_scale, T_shape > lkj_cov_log(const T_y &y, const T_loc &mu, const T_scale &sigma, const T_shape &eta)
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