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

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.0 by Pratik Ramprasad, 10 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