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Stan Math Library
2.11.0
reverse mode automatic differentiation
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#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>Go to the source code of this file.
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) |