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.


Reference manual

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0.1.0 by Pratik Ramprasad, 5 years 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