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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 |
| Reference manual: | rIsing.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.