| Stan Math Library 2.11.0 reverse mode automatic differentiation

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ordered_logistic_log.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 >
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_log (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_log (int y, const T_lambda &lambda, const Eigen::Matrix< T_cut, Eigen::Dynamic, 1 > &c)

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