Man pages for patrickjdanaher/JGL-package
Performs the Joint Graphical Lasso for Sparse Inverse Covariance Estimation on Multiple Classes

critCalculate the critical value of the FGL objective funciton.
example.dataToy two-class gene expression dataset.
gcritCalculate the critical value of the GGL objective funciton.
JGLJoint Graphical Lasso
JGL-internalInternal JGL functions
JGL-packageJoint Graphical Lasso
net.degreeList the degree of every node in all classes.
net.edgesList the edges in a network
net.hubsGet degrees of most connected nodes.
net.neighborsGet network neighbors of a node
screen.fglQuickly identify connected features in the solution to FGL
screen.gglQuickly identify connected features in the solution to GGL
subnetworksIdentify subnetwork membership
patrickjdanaher/JGL-package documentation built on May 18, 2019, 1:26 a.m.