Stan Math Library  2.15.0
reverse mode automatic differentiation
Namespaces | Functions
ordered_logistic_lpmf.hpp File Reference
#include <boost/random/uniform_01.hpp>
#include <boost/random/variate_generator.hpp>
#include <stan/math/prim/scal/fun/inv_logit.hpp>
#include <stan/math/prim/scal/fun/log1m.hpp>
#include <stan/math/prim/scal/fun/log1m_exp.hpp>
#include <stan/math/prim/scal/fun/log1p_exp.hpp>
#include <stan/math/prim/scal/err/check_bounded.hpp>
#include <stan/math/prim/scal/err/check_finite.hpp>
#include <stan/math/prim/scal/err/check_greater.hpp>
#include <stan/math/prim/scal/err/check_less.hpp>
#include <stan/math/prim/scal/err/check_less_or_equal.hpp>
#include <stan/math/prim/scal/err/check_nonnegative.hpp>
#include <stan/math/prim/scal/err/check_positive.hpp>
#include <stan/math/prim/scal/fun/constants.hpp>
#include <stan/math/prim/mat/prob/categorical_rng.hpp>
#include <stan/math/prim/scal/meta/include_summand.hpp>

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Namespaces

 stan
 
 stan::math
 Matrices and templated mathematical functions.
 

Functions

template<typename T >
stan::math::log_inv_logit_diff (const T &alpha, const T &beta)
 
template<bool propto, typename T_lambda , typename T_cut >
boost::math::tools::promote_args< T_lambda, T_cut >::type stan::math::ordered_logistic_lpmf (int y, const T_lambda &lambda, const Eigen::Matrix< T_cut, Eigen::Dynamic, 1 > &c)
 Returns the (natural) log probability of the specified integer outcome given the continuous location and specified cutpoints in an ordered logistic model. More...
 
template<typename T_lambda , typename T_cut >
boost::math::tools::promote_args< T_lambda, T_cut >::type stan::math::ordered_logistic_lpmf (int y, const T_lambda &lambda, const Eigen::Matrix< T_cut, Eigen::Dynamic, 1 > &c)
 

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