corr_matrix_constrain() [3/7]

template<typename T , require_std_vector_t< T > * = nullptr>

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

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

Parameters

y	Vector of unconstrained partial correlations
K	Dimensionality of returned correlation matrix

Definition at line 94 of file corr_matrix_constrain.hpp.