corr_matrix_constrain() [4/7]

template<typename T , typename Lp , require_std_vector_t< T > * = nullptr, require_convertible_t< return_type_t< T >, Lp > * = nullptr>

auto stan::math::corr_matrix_constrain ( const T &  y, int  K, Lp &  lp  )

inline

Return the correlation matrix of the specified dimensionality derived from the specified vector of unconstrained values.

The input vector must be of length ${k \choose 2} = \frac{k(k-1)}{2}$. The values in the input vector represent unconstrained (partial) correlations among the dimensions. This overload handles looping over the elements of a standard vector.

Template Parameters

T	A standard vector with inner type inheriting from Eigen::DenseBase or a var_value with inner type inheriting from Eigen::DenseBase with compile time dynamic rows and 1 column
Lp	Scalar type for the lp argument. The scalar type of T should be convertable to this.

Parameters

	y	Vector of unconstrained partial correlations
	K	Dimensionality of returned correlation matrix
[in,out]	lp	log density accumulator o

Definition at line 117 of file corr_matrix_constrain.hpp.