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Stan Math Library
5.1.0
Automatic Differentiation
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#include <stan/math/prim/meta.hpp>#include <stan/math/prim/fun/hypergeometric_pFq.hpp>#include <stan/math/prim/fun/add.hpp>#include <stan/math/prim/fun/prod.hpp>#include <stan/math/prim/fun/log.hpp>#include <stan/math/prim/fun/log1p.hpp>#include <stan/math/prim/fun/abs.hpp>#include <stan/math/prim/fun/floor.hpp>#include <stan/math/prim/fun/max.hpp>#include <stan/math/prim/fun/select.hpp>#include <stan/math/prim/fun/sum.hpp>#include <stan/math/prim/fun/as_column_vector_or_scalar.hpp>#include <stan/math/prim/fun/value_of_rec.hpp>Go to the source code of this file.
Namespaces | |
| namespace | stan |
| The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation. | |
| namespace | stan::math |
| Matrices and templated mathematical functions. | |
Functions | |
| template<bool calc_a = true, bool calc_b = true, bool calc_z = true, typename TpFq , typename Ta , typename Tb , typename Tz , typename T_Rtn = return_type_t<Ta, Tb, Tz>, typename Ta_Rtn = promote_scalar_t<T_Rtn, plain_type_t<Ta>>, typename Tb_Rtn = promote_scalar_t<T_Rtn, plain_type_t<Tb>>> | |
| std::tuple< Ta_Rtn, Tb_Rtn, T_Rtn > | stan::math::grad_pFq (const TpFq &pfq_val, const Ta &a, const Tb &b, const Tz &z, double precision=1e-14, int max_steps=1e6) |
| Returns the gradient of generalized hypergeometric function wrt to the input arguments: \( _pF_q(a_1,...,a_p;b_1,...,b_q;z) \). | |