Automatic Differentiation
 
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lkj_corr_log.hpp
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1#ifndef STAN_MATH_PRIM_PROB_LKJ_CORR_LOG_HPP
2#define STAN_MATH_PRIM_PROB_LKJ_CORR_LOG_HPP
3
7
8namespace stan {
9namespace math {
10
14template <bool propto, typename T_y, typename T_shape>
15return_type_t<T_y, T_shape> lkj_corr_log(const T_y& y, const T_shape& eta) {
16 return lkj_corr_lpdf<propto>(y, eta);
17}
18
22template <typename T_y, typename T_shape>
24 const T_shape& eta) {
25 return lkj_corr_lpdf<>(y, eta);
26}
27
28} // namespace math
29} // namespace stan
30#endif
return_type_t< T_y, T_shape > lkj_corr_log(const T_y &y, 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