Stan Math Library  2.15.0
reverse mode automatic differentiation
normal_log.hpp
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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,
32  typename T_y, typename T_loc, typename T_scale>
34  normal_log(const T_y& y, const T_loc& mu, const T_scale& sigma) {
35  return normal_lpdf<propto, T_y, T_loc, T_scale>(y, mu, sigma);
36  }
37 
41  template <typename T_y, typename T_loc, typename T_scale>
42  inline
44  normal_log(const T_y& y, const T_loc& mu, const T_scale& sigma) {
45  return normal_lpdf<T_y, T_loc, T_scale>(y, mu, sigma);
46  }
47 
48  }
49 }
50 #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_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:34

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