Stan Math Library  2.15.0
reverse mode automatic differentiation
multi_normal_prec_log.hpp
Go to the documentation of this file.
1 #ifndef STAN_MATH_PRIM_MAT_PROB_MULTI_NORMAL_PREC_LOG_HPP
2 #define STAN_MATH_PRIM_MAT_PROB_MULTI_NORMAL_PREC_LOG_HPP
3 
6 
7 namespace stan {
8  namespace math {
9 
13  template <bool propto,
14  typename T_y, typename T_loc, typename T_covar>
16  multi_normal_prec_log(const T_y& y,
17  const T_loc& mu,
18  const T_covar& Sigma) {
19  return multi_normal_prec_lpdf<propto, T_y, T_loc, T_covar>(y, mu, Sigma);
20  }
21 
25  template <typename T_y, typename T_loc, typename T_covar>
26  inline
28  multi_normal_prec_log(const T_y& y, const T_loc& mu, const T_covar& Sigma) {
29  return multi_normal_prec_lpdf<T_y, T_loc, T_covar>(y, mu, Sigma);
30  }
31 
32  }
33 }
34 #endif
return_type< T_y, T_loc, T_covar >::type multi_normal_prec_log(const T_y &y, const T_loc &mu, const T_covar &Sigma)
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

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