Data mining to learn the graph of binary variables with an Ising model \insertCitelenz1920beitrvsge,ising1925beitragGGMnonreg.
A data matrix of dimensions n (observations) by p (nodes).
Character string. The desired information criterion. Options include
Logical. Should a progress bar be included (defaults to
Currently only backwards selection is currently implemented.
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.
For an excellent overview of the Ising model see \insertCitemarsman2018introduction;textualGGMnonreg.
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