High-Dimensional Ising Model Selection

Fits an Ising model to a binary dataset using L1 regularized logistic regression and extended BIC. Also includes a fast lasso logistic regression function for high-dimensional problems. Uses the 'libLBFGS' optimization library by Naoaki Okazaki.


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install.packages("rIsing")

0.1.0 by Pratik Ramprasad, 6 months ago


Browse source code at https://github.com/cran/rIsing


Authors: Pratik Ramprasad [aut, cre], Jorge Nocedal [ctb, cph], Naoaki Okazaki [ctb, cph]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, data.table

Suggests igraph, IsingSampler

Linking to Rcpp, RcppEigen


See at CRAN