mbic_cal: Modified BIC for RCM

In dilernia/rcm: Implemention of Random Covariance Models

Description

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)

Arguments

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.

Value

Numeric Modified BIC value

Author(s)

Lin Zhang

dilernia/rcm documentation built on Aug. 11, 2020, 7:29 a.m.