1#ifndef STAN_MATH_PRIM_FUN_BETA_HPP
2#define STAN_MATH_PRIM_FUN_BETA_HPP
52template <
typename T1,
typename T2, require_all_arithmetic_t<T1, T2>* =
nullptr>
68template <
typename T1,
typename T2, require_any_container_t<T1, T2>* =
nullptr,
69 require_all_not_var_matrix_t<T1, T2>* =
nullptr>
70inline auto beta(
const T1& a,
const T2& b) {
72 a, b, [](
const auto& c,
const auto& d) {
return beta(c, d); });
typename return_type< Ts... >::type return_type_t
Convenience type for the return type of the specified template parameters.
fvar< T > lgamma(const fvar< T > &x)
Return the natural logarithm of the gamma function applied to the specified argument.
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 > beta(const fvar< T > &x1, const fvar< T > &x2)
Return fvar with the beta function applied to the specified arguments and its gradient.
fvar< T > exp(const fvar< T > &x)
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...