GMS: Graphical Models Object
In XMRF: Markov Random Fields for High-Throughput Genetics Data

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

`v`	vector of (`nlams` length) network variability measured for each regularization level.
`D`	a list of pxp matrices of stability scores of inferred edges of each network along the regularization path.
`lambda.path`	numeric vector used for regularization path.
`opt.lambda`	lambda value that gives the optimal network (network with maximum variability).
`network`	a list of pxp matrices of fitted networks along the regularization path.
`opt.index`	index of the regularization value that gives the optimal network.