Automatic Differentiation
 
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chi_square_cdf_log.hpp
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1#ifndef STAN_MATH_PRIM_PROB_CHI_SQUARE_CDF_LOG_HPP
2#define STAN_MATH_PRIM_PROB_CHI_SQUARE_CDF_LOG_HPP
3
6
7namespace stan {
8namespace math {
9
13template <typename T_y, typename T_dof>
14return_type_t<T_y, T_dof> chi_square_cdf_log(const T_y& y, const T_dof& nu) {
15 return chi_square_lcdf<T_y, T_dof>(y, nu);
16}
17
18} // namespace math
19} // namespace stan
20#endif
return_type_t< T_y, T_dof > chi_square_cdf_log(const T_y &y, const T_dof &nu)
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