read_cov_matrix() [3/4]

template<typename T_CPCs , typename T_sds , require_all_var_vector_t< T_CPCs, T_sds > * = nullptr>

var_value< Eigen::MatrixXd > stan::math::read_cov_matrix	(	const T_CPCs &	CPCs,
		const T_sds &	sds,
		scalar_type_t< T_CPCs > &	log_prob
	)

A generally worse alternative to call prior to evaluating the density of an elliptical distribution.

Template Parameters

T_CPCs	type of CPCs vector (must be a var_value<T> where T inherits from EigenBase)
T_sds	type of sds vector (must be a var_value<T> where T inherits from EigenBase)

Parameters

CPCs	on (-1, 1)
sds	on (0, inf)
log_prob	the log probability value to increment with the Jacobian

Returns

Covariance matrix for specified partial correlations.

Definition at line 30 of file read_cov_matrix.hpp.