Stan Math Library  2.20.0
reverse mode automatic differentiation
normal_log.hpp
Go to the documentation of this file.
1 #ifndef STAN_MATH_PRIM_SCAL_PROB_NORMAL_LOG_HPP
2 #define STAN_MATH_PRIM_SCAL_PROB_NORMAL_LOG_HPP
3 
6 
7 namespace stan {
8 namespace math {
9 
31 template <bool propto, typename T_y, typename T_loc, typename T_scale>
33  const T_y& y, const T_loc& mu, const T_scale& sigma) {
34  return normal_lpdf<propto, T_y, T_loc, T_scale>(y, mu, sigma);
35 }
36 
40 template <typename T_y, typename T_loc, typename T_scale>
42  const T_y& y, const T_loc& mu, const T_scale& sigma) {
43  return normal_lpdf<T_y, T_loc, T_scale>(y, mu, sigma);
44 }
45 
46 } // namespace math
47 } // namespace stan
48 #endif
boost::math::tools::promote_args< double, typename scalar_type< T >::type, typename return_type< Types_pack... >::type >::type type
Definition: return_type.hpp:36
return_type< T_y, T_loc, T_scale >::type normal_log(const T_y &y, const T_loc &mu, const T_scale &sigma)
The log of the normal density for the specified scalar(s) given the specified mean(s) and deviation(s...
Definition: normal_log.hpp:32

     [ Stan Home Page ] © 2011–2018, Stan Development Team.