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