Description Usage Arguments Value Author(s) References Examples
For each class, lists the degree of every node.
1 | net.degree(theta)
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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
1 2 3 4 5 6 7 | ## 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)
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