Automatic Differentiation
 
Loading...
Searching...
No Matches
multi_normal_prec_log.hpp
Go to the documentation of this file.
1#ifndef STAN_MATH_PRIM_PROB_MULTI_NORMAL_PREC_LOG_HPP
2#define STAN_MATH_PRIM_PROB_MULTI_NORMAL_PREC_LOG_HPP
3
6
7namespace stan {
8namespace math {
9
13template <bool propto, typename T_y, typename T_loc, typename T_covar>
15 const T_loc& mu,
16 const T_covar& Sigma) {
17 return multi_normal_prec_lpdf<propto, T_y, T_loc, T_covar>(y, mu, Sigma);
18}
19
23template <typename T_y, typename T_loc, typename T_covar>
25 const T_y& y, const T_loc& mu, const T_covar& Sigma) {
26 return multi_normal_prec_lpdf<T_y, T_loc, T_covar>(y, mu, Sigma);
27}
28
29} // namespace math
30} // namespace stan
31#endif
return_type_t< T_y, T_loc, T_covar > multi_normal_prec_log(const T_y &y, const T_loc &mu, const T_covar &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