Performs the Joint Graphical Lasso for Sparse Inverse Covariance Estimation on Multiple Classes

Documentation for package ‘JGL’ version 2.3.2

JGL-package	Joint Graphical Lasso
crit	Calculate the critical value of the FGL objective funciton.
example.data	Toy two-class gene expression dataset.
gcrit	Calculate the critical value of the GGL objective funciton.
JGL	Joint Graphical Lasso
net.degree	List the degree of every node in all classes.
net.edges	List the edges in a network
net.hubs	Get degrees of most connected nodes.
net.neighbors	Get network neighbors of a node
screen.fgl	Quickly identify connected features in the solution to FGL
screen.ggl	Quickly identify connected features in the solution to GGL
subnetworks	Identify subnetwork membership