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Stan Math Library
5.1.0
Automatic Differentiation
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#include <stan/math/prim/meta.hpp>#include <stan/math/prim/err.hpp>#include <stan/math/prim/fun/as_array_or_scalar.hpp>#include <stan/math/prim/fun/as_value_array_or_scalar.hpp>#include <stan/math/prim/fun/exp.hpp>#include <stan/math/prim/fun/inv_logit.hpp>#include <stan/math/prim/fun/is_integer.hpp>#include <stan/math/prim/fun/log1p_exp.hpp>#include <stan/math/prim/fun/log_inv_logit_diff.hpp>#include <stan/math/prim/fun/scalar_seq_view.hpp>#include <stan/math/prim/fun/size.hpp>#include <stan/math/prim/fun/size_mvt.hpp>#include <stan/math/prim/fun/value_of.hpp>#include <stan/math/prim/fun/vector_seq_view.hpp>#include <stan/math/prim/functor/partials_propagator.hpp>#include <vector>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_y , typename T_loc , typename T_cut , require_all_not_nonscalar_prim_or_rev_kernel_expression_t< T_y, T_loc, T_cut > * = nullptr> | |
| return_type_t< T_loc, T_cut > | stan::math::ordered_logistic_lpmf (const T_y &y, const T_loc &lambda, const T_cut &c) |
| Returns the (natural) log probability of the specified array of integers given the vector of continuous locations and specified cutpoints in an ordered logistic model. | |
| template<typename T_y , typename T_loc , typename T_cut > | |
| return_type_t< T_loc, T_cut > | stan::math::ordered_logistic_lpmf (const T_y &y, const T_loc &lambda, const T_cut &c) |