net.edges {JGL} | R Documentation |
List the edges in a network
Description
For each class, list every pair of connected nodes.
Usage
net.edges(theta)
Arguments
theta |
A list of pXp matrices, each an estimated sparse inverse covariance matrix. (For example, the result of FGL or GGL.) |
Value
edges, a K-length list, each element of the list an igraph.es object detailing all pairs of connected nodes in the class.
Author(s)
Patrick Danaher
References
Patrick Danaher, Pei Wang and Daniela Witten (2011). The joint graphical lasso for inverse covariance estimation across multiple classes. http://arxiv.org/abs/1111.0324
Examples
## load an example dataset with K=two classes, p=200 features, and n=100 samples per class:
data(example.data)
str(example.data)
## run fgl:
fgl.results = JGL(Y=example.data,penalty="fused",lambda1=.25,lambda2=.1)
## get edges list:
net.edges(fgl.results$theta)
[Package JGL version 2.3.2 Index]