corr_matrix_constrain.hpp File Reference

#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/err.hpp>
#include <stan/math/prim/fun/Eigen.hpp>
#include <stan/math/prim/fun/corr_constrain.hpp>
#include <stan/math/prim/fun/read_corr_matrix.hpp>
#include <stdexcept>

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 T , require_eigen_col_vector_t< T > * = nullptr>
Eigen::Matrix< value_type_t< T >, Eigen::Dynamic, Eigen::Dynamic >	stan::math::corr_matrix_constrain (const T &x, Eigen::Index k)
	Return the correlation matrix of the specified dimensionality derived from the specified vector of unconstrained values.
template<typename T , require_eigen_col_vector_t< T > * = nullptr>
Eigen::Matrix< value_type_t< T >, Eigen::Dynamic, Eigen::Dynamic >	stan::math::corr_matrix_constrain (const T &x, Eigen::Index k, return_type_t< T > &lp)
	Return the correlation matrix of the specified dimensionality derived from the specified vector of unconstrained values.
template<bool Jacobian, typename T , require_not_std_vector_t< T > * = nullptr>
auto	stan::math::corr_matrix_constrain (const T &x, Eigen::Index k, return_type_t< T > &lp)
	Return the correlation matrix of the specified dimensionality derived from the specified vector of unconstrained values.
template<bool Jacobian, typename T , require_std_vector_t< T > * = nullptr>
auto	stan::math::corr_matrix_constrain (const T &y, int K, return_type_t< T > &lp)
	Return the correlation matrix of the specified dimensionality derived from the specified vector of unconstrained values.