Data mining to learn the graph.
A data matrix of dimensions n (observations) by p (nodes)
Vector of length p. The type of data, with options of "b" (binary), "p" (Poisson), and "g" (Gaussian).
Character string. The desired information criterion. Options include
Only backwards selection is currently implemented. Only an adjacency matrix is provided.
An object of class
wadj: Weighted adjacency matrix, corresponding to the partial correlation network.
adj: Adjacency matrix (detected effects).
pcors: Partial correlations.
n: Sample size.
p: Number of nodes.
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