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(const T1& a, const T2& b) {
70 a, b, [&](const auto& c, const auto& d) { return gamma_q(c, d); });
71}
72
73} // namespace math
74} // namespace stan
75#endif
auto apply_scalar_binary(const T1 &x, const T2 &y, const F &f)
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 ...