A Constrained L1 Minimization Approach for Estimating Multiple Sparse Gaussian or Nonparanormal Graphical Models

Documentation for package ‘simule’ version 1.2.0

simule-package	Shared and Individual parts of MULtiple graphs Explicitly
cancer	Microarray data set for breast cancer
exampleData	A simulated toy dataset that includes 2 data matrices (from 2 related tasks).
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.simule	Plotting functions for displaying the list of multiple graphs generated by the simule algorithm
plot.wsimule	Plotting functions for displaying the list of multiple graphs generated by the simule algorithm
simule	A constrained l1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models
wsimule	A constrained and weighted l1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models