stochastic_column_constrain.hpp File Reference

#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/fun/Eigen.hpp>
#include <stan/math/prim/fun/inv_logit.hpp>
#include <stan/math/prim/fun/log.hpp>
#include <stan/math/prim/fun/log1p_exp.hpp>
#include <stan/math/prim/fun/logit.hpp>
#include <stan/math/prim/constraint/simplex_constrain.hpp>
#include <cmath>

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<typename Mat , require_eigen_matrix_dynamic_t< Mat > * = nullptr, require_not_st_var< Mat > * = nullptr>
plain_type_t< Mat >	stan::math::stochastic_column_constrain (const Mat &y)
	Return a column stochastic matrix.
template<typename Mat , require_eigen_matrix_dynamic_t< Mat > * = nullptr, require_not_st_var< Mat > * = nullptr>
plain_type_t< Mat >	stan::math::stochastic_column_constrain (const Mat &y, value_type_t< Mat > &lp)
	Return a column stochastic matrix and increment the specified log probability reference with the log absolute Jacobian determinant of the transform.
template<bool Jacobian, typename Mat , require_not_std_vector_t< Mat > * = nullptr>
plain_type_t< Mat >	stan::math::stochastic_column_constrain (const Mat &y, return_type_t< Mat > &lp)
	Return a column stochastic matrix.
template<bool Jacobian, typename T , require_std_vector_t< T > * = nullptr>
auto	stan::math::stochastic_column_constrain (const T &y, return_type_t< T > &lp)
	Return a vector of column stochastic matrices.