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Stan Math Library
2.11.0
reverse mode automatic differentiation
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#include <boost/math/special_functions/gamma.hpp>
#include <boost/random/gamma_distribution.hpp>
#include <boost/random/variate_generator.hpp>
#include <stan/math/prim/mat/err/check_simplex.hpp>
#include <stan/math/prim/scal/err/check_consistent_sizes.hpp>
#include <stan/math/prim/scal/err/check_positive.hpp>
#include <stan/math/prim/scal/fun/multiply_log.hpp>
#include <stan/math/prim/scal/fun/constants.hpp>
#include <stan/math/prim/scal/meta/include_summand.hpp>
Go to the source code of this file.
Namespaces | |
stan | |
stan::math | |
Matrices and templated mathematical functions. | |
Functions | |
template<bool propto, typename T_prob , typename T_prior_sample_size > | |
boost::math::tools::promote_args< T_prob, T_prior_sample_size >::type | stan::math::dirichlet_log (const Eigen::Matrix< T_prob, Eigen::Dynamic, 1 > &theta, const Eigen::Matrix< T_prior_sample_size, Eigen::Dynamic, 1 > &alpha) |
The log of the Dirichlet density for the given theta and a vector of prior sample sizes, alpha. More... | |
template<typename T_prob , typename T_prior_sample_size > | |
boost::math::tools::promote_args< T_prob, T_prior_sample_size >::type | stan::math::dirichlet_log (const Eigen::Matrix< T_prob, Eigen::Dynamic, 1 > &theta, const Eigen::Matrix< T_prior_sample_size, Eigen::Dynamic, 1 > &alpha) |