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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/err.hpp>#include <stan/math/prim/fun/beta.hpp>#include <stan/math/prim/fun/constants.hpp>#include <stan/math/prim/fun/digamma.hpp>#include <stan/math/prim/fun/grad_reg_inc_beta.hpp>#include <stan/math/prim/fun/inc_beta.hpp>#include <stan/math/prim/fun/inv.hpp>#include <stan/math/prim/fun/log.hpp>#include <stan/math/prim/fun/max_size.hpp>#include <stan/math/prim/fun/scalar_seq_view.hpp>#include <stan/math/prim/fun/size.hpp>#include <stan/math/prim/fun/size_zero.hpp>#include <stan/math/prim/fun/value_of.hpp>#include <stan/math/prim/functor/partials_propagator.hpp>#include <cmath>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<typename T_y , typename T_loc , typename T_prec > | |
| return_type_t< T_y, T_loc, T_prec > | stan::math::beta_proportion_lcdf (const T_y &y, const T_loc &mu, const T_prec &kappa) |
| Returns the beta log cumulative distribution function for specified probability, location, and precision parameters: beta_proportion_lcdf(y | mu, kappa) = beta_lcdf(y | mu * kappa, (1 - mu) * kappa). | |