cov_matrix_constrain_lkj.hpp File Reference

#include <stan/math/prim/fun/Eigen.hpp>
#include <stan/math/prim/constraint/corr_constrain.hpp>
#include <stan/math/prim/constraint/positive_constrain.hpp>
#include <stan/math/prim/fun/read_cov_matrix.hpp>
#include <stan/math/prim/fun/to_ref.hpp>

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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_vector_t< T > * = nullptr>
Eigen::Matrix< value_type_t< T >, Eigen::Dynamic, Eigen::Dynamic >	stan::math::cov_matrix_constrain_lkj (const T &x, size_t k)
	Return the covariance matrix of the specified dimensionality derived from constraining the specified vector of unconstrained values.
template<typename T , require_eigen_vector_t< T > * = nullptr>
Eigen::Matrix< value_type_t< T >, Eigen::Dynamic, Eigen::Dynamic >	stan::math::cov_matrix_constrain_lkj (const T &x, size_t k, return_type_t< T > &lp)
	Return the covariance matrix of the specified dimensionality derived from constraining the specified vector of unconstrained values and increment the specified log probability reference with the log absolute Jacobian determinant.
template<bool Jacobian, typename T , require_not_std_vector_t< T > * = nullptr>
auto	stan::math::cov_matrix_constrain_lkj (const T &x, size_t k, return_type_t< T > &lp)
	Return the covariance matrix of the specified dimensionality derived from constraining the specified vector of unconstrained values.