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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) |