Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure

Documentation for package ‘diffee’ version 1.0.0

diffee-package	estimating DIFFerential networks via an Elementary Estimator under a high-dimensional situation
cancer	Microarray data set for breast cancer
diffee	Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
exampleData	A simulated toy dataset that includes 2 data matrices (from 2 related tasks).
net.degree	Lists the degree of every node of the differential graph.
net.edges	List the edges in the input graph
net.hubs	Get degrees of the most connected nodes in the input graph.
net.neighbors	Get neighbors of a node in the input graph.
plot.diffee	Plotting functions for displaying the differential network generated by the diffee algorithm