Modified BIC for RCM — mbic

This function calculates the modified BIC for the random covariance model (RCM)

Usage

mbic_cal(x, Omega0, Omegas, lambda2, G0_est = NULL, Gk_est = NULL)

mbic_cal(x, Omega0, Omegas, lambda2, G0_est = NULL, Gk_est = NULL)

x: List of \(K\) data matrices each of dimension \(n_k\) x \(p\).
Omega0: \(p\) x \(p\) group-level precision matrix estimate.
Omegas: \(p\) x \(p\) x \(K\) array of \(K\) number of estimated subject-level precision matrices.
lambda2: Non-negative scalar. Induces similarity between subject-level matrices and group-level matrix.
G0_est: \(p\) x \(p\) group-level network estimate.
Gk_est: \(p\) x \(p\) x \(K\) array of \(K\) number of estimated subject-level networks.

Numeric Modified BIC value

Lin Zhang