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    Stan Math Library
    5.1.0
    
   Automatic Differentiation 
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#include <stan/math/prim/fun/Eigen.hpp>#include <stan/math/prim/meta.hpp>#include <stan/math/prim/err.hpp>#include <stan/math/prim/fun/constants.hpp>#include <stan/math/prim/fun/elt_divide.hpp>#include <stan/math/prim/fun/elt_multiply.hpp>#include <stan/math/prim/fun/lgamma.hpp>#include <stan/math/opencl/kernel_generator.hpp>#include <stan/math/prim/functor/partials_propagator.hpp>#include <stan/math/prim/err/constraint_tolerance.hpp>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_prob_cl , typename T_prior_size_cl , require_all_prim_or_rev_kernel_expression_t< T_prob_cl, T_prior_size_cl > * = nullptr, require_any_not_stan_scalar_t< T_prob_cl, T_prior_size_cl > * = nullptr> | |
| return_type_t< T_prob_cl, T_prior_size_cl > | stan::math::dirichlet_lpdf (const T_prob_cl &theta, const T_prior_size_cl &alpha) | 
| The log of the Dirichlet density for the given theta and a vector of prior sample sizes, alpha.   | |