net.degree {fasjem} | R Documentation |
Lists the degree of every node of each graph in the input list of multiple graphs.
net.degree(theta)
theta |
An input list of multiple graphs. Each graph is represented as a pXp matrix. (For example, the result of the fasjem algorithm: a list of pXp matrices in which each matrix represents an estimated sparse inverse covariance matrix.) |
Degrees, in the format of a list of length p vectors represents the degree of all p nodes of each graph in the input list of multiple graphs.
Beilun Wang
Beilun Wang, Ji Gao, Yanjun Qi (2017). A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models. <http://proceedings.mlr.press/v54/wang17e/wang17e.pdf>
## Not run:
## load an example multi-task dataset with K=2 tasks, p=100 features, and n=200 samples per task:
data(exampleData)
##run
result = fasjem(X = exampleData, method = "fasjem-g", 0.1, 0.1, 0.1, 0.05, 10)
## get degree list:
net.degree(result)
## End(Not run)