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rIsing: 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.

Version:0.1.0
Depends:R (≥ 3.1.0)
Imports:Rcpp (≥ 0.12.8),data.table (≥ 1.9.6)
LinkingTo:Rcpp,RcppEigen (≥ 0.3.2.9)
Suggests:igraph,IsingSampler
Published:2016-11-25
DOI:10.32614/CRAN.package.rIsing
Author:Pratik Ramprasad [aut, cre], Jorge Nocedal [ctb, cph], Naoaki Okazaki [ctb, cph]
Maintainer:Pratik Ramprasad <pratik.ramprasad at gmail.com>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
CRAN checks:rIsing results

Documentation:

Reference manual:rIsing.html ,rIsing.pdf

Downloads:

Package source: rIsing_0.1.0.tar.gz
Windows binaries: r-devel:rIsing_0.1.0.zip, r-release:rIsing_0.1.0.zip, r-oldrel:rIsing_0.1.0.zip
macOS binaries: r-release (arm64):rIsing_0.1.0.tgz, r-oldrel (arm64):rIsing_0.1.0.tgz, r-release (x86_64):rIsing_0.1.0.tgz, r-oldrel (x86_64):rIsing_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=rIsingto link to this page.


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