rIsing: High-Dimensional Ising Model Selection (original) (raw)
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 |
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