Automatic Differentiation
 
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normal_ccdf_log.hpp
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1#ifndef STAN_MATH_PRIM_PROB_NORMAL_CCDF_LOG_HPP
2#define STAN_MATH_PRIM_PROB_NORMAL_CCDF_LOG_HPP
3
6
7namespace stan {
8namespace math {
9
13template <typename T_y, typename T_loc, typename T_scale>
15 const T_y& y, const T_loc& mu, const T_scale& sigma) {
16 return normal_lccdf<T_y, T_loc, T_scale>(y, mu, sigma);
17}
18
19} // namespace math
20} // namespace stan
21#endif
return_type_t< T_y, T_loc, T_scale > normal_ccdf_log(const T_y &y, const T_loc &mu, const T_scale &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