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Stan
2.5.0
probability, sampling & optimization
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#include <boost/random/gamma_distribution.hpp>#include <boost/random/variate_generator.hpp>#include <stan/agrad/partials_vari.hpp>#include <stan/math/error_handling.hpp>#include <stan/math/constants.hpp>#include <stan/math/functions/multiply_log.hpp>#include <stan/math/functions/value_of.hpp>#include <stan/meta/traits.hpp>#include <stan/prob/constants.hpp>#include <stan/prob/traits.hpp>#include <stan/prob/internal_math.hpp>Go to the source code of this file.
Namespaces | |
| stan | |
| Probability, optimization and sampling library. | |
| stan::prob | |
| Templated probability distributions. | |
Functions | |
| template<bool propto, typename T_y , typename T_shape , typename T_inv_scale > | |
| return_type< T_y, T_shape, T_inv_scale >::type | stan::prob::gamma_log (const T_y &y, const T_shape &alpha, const T_inv_scale &beta) |
| The log of a gamma density for y with the specified shape and inverse scale parameters. More... | |
| template<typename T_y , typename T_shape , typename T_inv_scale > | |
| return_type< T_y, T_shape, T_inv_scale >::type | stan::prob::gamma_log (const T_y &y, const T_shape &alpha, const T_inv_scale &beta) |
| template<typename T_y , typename T_shape , typename T_inv_scale > | |
| return_type< T_y, T_shape, T_inv_scale >::type | stan::prob::gamma_cdf (const T_y &y, const T_shape &alpha, const T_inv_scale &beta) |
| The cumulative density function for a gamma distribution for y with the specified shape and inverse scale parameters. More... | |
| template<typename T_y , typename T_shape , typename T_inv_scale > | |
| return_type< T_y, T_shape, T_inv_scale >::type | stan::prob::gamma_cdf_log (const T_y &y, const T_shape &alpha, const T_inv_scale &beta) |
| template<typename T_y , typename T_shape , typename T_inv_scale > | |
| return_type< T_y, T_shape, T_inv_scale >::type | stan::prob::gamma_ccdf_log (const T_y &y, const T_shape &alpha, const T_inv_scale &beta) |
| template<class RNG > | |
| double | stan::prob::gamma_rng (const double alpha, const double beta, RNG &rng) |