scalefree: A simulated data set for a scale-free network of 200 nodes
In rope: Model Selection with FDR Control of Selected Variables

The data set contains 175 observations for each node, the true network structure dat was used to generate data and edge presence counts from glasso over 100 bootstraps.

scalefree

A list containing:

x: A matrix of 175 observations (rows) for 200 variabels (columns)
g: The generating network structure (as a vector)
B: 100, the number of bootstraps used when counting edge presence
lambda: The range of penalization used for glasso (the first 9 generate U-shaped histograms)
W: A matrix of length(lambda) rows and 200*199/2 columns containing presence counts for each edge and each level of penalization
Wlist: A list of length(lamdba) containing matrices of size 200 by 200, the data in W but in an alternative format
gmatrix: A 200 by 200 matrix, the data in g but in an alternative format