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(T1&& a, T2&& b) {
72 [](
auto&& c,
auto&& d) {
73 return beta(std::forward<
decltype(c)>(c), std::forward<
decltype(d)>(d));
75 std::forward<T1>(a), std::forward<T2>(b));
typename return_type< Ts... >::type return_type_t
Convenience type for the return type of the specified template parameters.
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 > lgamma(const fvar< T > &x)
Return the natural logarithm of the gamma function applied to the specified argument.
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 ...