A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models

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Documentation for package ‘fasjem’ version 1.1.2

• DESCRIPTION file.
• Code demos. Use demo() to run them.

Help Pages

fasjem-package	A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
exampleData	A simulated toy dataset that includes 2 data matrices (about 2 related tasks).
fasjem	A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
net.degree	List the degree of every node of each graph in the input list of multiple graphs.
net.edges	List the edges of each graph in the input list of multiple graphs
net.hubs	Get degrees of the most connected nodes of each graph in the input list of multiple graphs.
net.neighbors	Get neighbors of a node in each graph in the input list of multiple graphs
plot.fasjem	Plotting functions for displaying the list of multiple graphs generated by the fasjem algorithm