Automatic Differentiation
 
Loading...
Searching...
No Matches
lkj_corr_cholesky_log.hpp
Go to the documentation of this file.
1#ifndef STAN_MATH_PRIM_PROB_LKJ_CORR_CHOLESKY_LOG_HPP
2#define STAN_MATH_PRIM_PROB_LKJ_CORR_CHOLESKY_LOG_HPP
3
7
8namespace stan {
9namespace math {
10
14template <bool propto, typename T_covar, typename T_shape>
16 const T_shape& eta) {
17 return lkj_corr_cholesky_lpdf<propto>(L, eta);
18}
19
23template <typename T_covar, typename T_shape>
25 const T_covar& L, const T_shape& eta) {
26 return lkj_corr_cholesky_lpdf<>(L, eta);
27}
28
29} // namespace math
30} // namespace stan
31#endif
return_type_t< T_covar, T_shape > lkj_corr_cholesky_log(const T_covar &L, 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