List the degree of every node in all classes.
For each class, lists the degree of every node.
net.degree(theta)
theta |
A list of pXp matrices, each an estimated sparse inverse covariance matrix. (For example, the result of FGL or GGL.) |
degree, a list of p-length vectors, each giving the degree of all p nodes in the network for the corresponding class.
Patrick Danaher
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
## 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 degree list: net.degree(fgl.results$theta)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.