Stan Math Library  2.15.0
reverse mode automatic differentiation
multi_normal_cholesky_log.hpp
Go to the documentation of this file.
1 #ifndef STAN_MATH_PRIM_MAT_PROB_MULTI_NORMAL_CHOLESKY_LOG_HPP
2 #define STAN_MATH_PRIM_MAT_PROB_MULTI_NORMAL_CHOLESKY_LOG_HPP
3 
6 #include <boost/math/tools/promotion.hpp>
7 
8 namespace stan {
9  namespace math {
28  template <bool propto,
29  typename T_y, typename T_loc, typename T_covar>
32  const T_loc& mu,
33  const T_covar& L) {
34  return multi_normal_cholesky_lpdf<propto, T_y, T_loc, T_covar>(y, mu, L);
35  }
36 
40  template <typename T_y, typename T_loc, typename T_covar>
41  inline
43  multi_normal_cholesky_log(const T_y& y, const T_loc& mu, const T_covar& L) {
44  return multi_normal_cholesky_lpdf<T_y, T_loc, T_covar>(y, mu, L);
45  }
46 
47  }
48 }
49 #endif
boost::math::tools::promote_args< typename scalar_type< T1 >::type, typename scalar_type< T2 >::type, typename scalar_type< T3 >::type, typename scalar_type< T4 >::type, typename scalar_type< T5 >::type, typename scalar_type< T6 >::type >::type type
Definition: return_type.hpp:27
return_type< T_y, T_loc, T_covar >::type multi_normal_cholesky_log(const T_y &y, const T_loc &mu, const T_covar &L)
The log of the multivariate normal density for the given y, mu, and a Cholesky factor L of the varian...

     [ Stan Home Page ] © 2011–2016, Stan Development Team.