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.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 form https://CRAN.R-project.org/package=rIsing to link to this page.
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