vector of (<code>nlams</code> length) network variability measured for each regularization level.

a list of pxp matrices of stability scores of inferred edges of each network along the regularization path.

numeric vector used for regularization path.

lambda.path

lambda value that gives the optimal network (network with maximum variability).

opt.lambda

a list of pxp matrices of fitted networks along the regularization path.

network

index of the regularization value that gives the optimal network.

opt.index

This class of objects is returned by the <code>XMRF</code> function in this package, to represent the fitted Markov Network(s).
Objects of this class have the <code>print</code> method to display the core information of the fitted models and <code>plot</code> method to plot the optimal Markov Network.

Fit Markov Networks to a wide range of high-throughput genomics data.

GMS: Graphical Models Object

Description

Arguments

See Also