Automatic Differentiation
 
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gamma_q.hpp
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1#ifndef STAN_MATH_PRIM_FUN_GAMMA_Q_HPP
2#define STAN_MATH_PRIM_FUN_GAMMA_Q_HPP
3
6#include <boost/math/special_functions/gamma.hpp>
7
8namespace stan {
9namespace math {
10
55inline double gamma_q(double x, double a) { return boost::math::gamma_q(x, a); }
56
67template <typename T1, typename T2, require_any_container_t<T1, T2>* = nullptr>
68inline auto gamma_q(T1&& a, T2&& b) {
70 [](auto&& c, auto&& d) {
71 return gamma_q(std::forward<decltype(c)>(c),
72 std::forward<decltype(d)>(d));
73 },
74 std::forward<T1>(a), std::forward<T2>(b));
75}
76
77} // namespace math
78} // namespace stan
79#endif
auto apply_scalar_binary(F &&f, T1 &&x, T2 &&y)
Base template function for vectorization of binary scalar functions defined by applying a functor to ...
fvar< T > gamma_q(const fvar< T > &x1, const fvar< T > &x2)
Definition gamma_q.hpp:19
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...