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/as_value_column_array_or_scalar.hpp>
#include <stan/math/prim/fun/binomial_coefficient_log.hpp>
#include <stan/math/prim/fun/log_inv_logit.hpp>
#include <stan/math/prim/fun/log1m_inv_logit.hpp>
#include <stan/math/prim/fun/exp.hpp>
#include <stan/math/prim/fun/max_size.hpp>
#include <stan/math/prim/fun/size.hpp>
#include <stan/math/prim/fun/size_zero.hpp>
#include <stan/math/prim/fun/to_ref.hpp>
#include <stan/math/prim/fun/value_of.hpp>
#include <stan/math/prim/functor/partials_propagator.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_n , typename T_N , typename T_prob , require_all_not_nonscalar_prim_or_rev_kernel_expression_t< T_n, T_N, T_prob > * = nullptr> | |
return_type_t< T_prob > | stan::math::binomial_logit_lpmf (const T_n &n, const T_N &N, const T_prob &alpha) |
Binomial log PMF in logit parametrization. | |
template<typename T_n , typename T_N , typename T_prob > | |
return_type_t< T_prob > | stan::math::binomial_logit_lpmf (const T_n &n, const T_N &N, const T_prob &alpha) |