Stan Math Library
5.0.0
Automatic Differentiation
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#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/err.hpp>
#include <stan/math/prim/fun/lbeta.hpp>
#include <stan/math/prim/fun/to_ref.hpp>
#include <stan/math/prim/fun/digamma.hpp>
#include <stan/math/prim/fun/log.hpp>
#include <stan/math/prim/fun/sum.hpp>
#include <stan/math/prim/fun/as_value_array_or_scalar.hpp>
#include <stan/math/prim/functor/partials_propagator.hpp>
#include <vector>
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 propto, typename T_prior_size , require_eigen_col_vector_t< T_prior_size > * = nullptr> | |
return_type_t< T_prior_size > | stan::math::dirichlet_multinomial_lpmf (const std::vector< int > &ns, const T_prior_size &alpha) |
The log of the Dirichlet-Multinomial probability for the given integer vector \(n\) and a vector of prior sample sizes, \(\alpha\). | |
template<typename T_prior_size > | |
return_type_t< T_prior_size > | stan::math::dirichlet_multinomial_lpmf (const std::vector< int > &ns, const T_prior_size &alpha) |