rnetBasic: An S4 class containg the information of a basic rnet. These...
In Rnets: Resistance Relationship Networks using Graphical LASSO

Inherits from 'rnetInput'

x: A dataframe containing the dataset.
L1: The L1 penalty
vertices: The vertex set
n: A square matrix of n_ij, the number of valid pairs used to estimate the edge between i and j.
V_omitted: The names of vertices removed from the rnet due to low sample size or forced to 0.
V_metadata: A Vector containing the attribute names assigned to the rnet's vertices.
E_metadata: A vector containing the attribute names assinged to the rnet's edges.
zeros: A list of edges forced to zero due to small sample size or declared by user.
Sigma: The empirical correlation matrix
Theta: The penalized precision matrix (Sigma^-1)
Omega: The penalized partial correlation matrix. Also the weighted adajacency matrix used for the network.
A: The adjacency matrix (omega_ij != 0)
R: An igraph object derived from Omega
layout: A k' x 2 matrix containing the x & y coords for the vertices for plotting. k' indicates that some of the k vertices declared may have been removed, typically due to a variable having fewer than n_min observations.