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An MCMC algorithm for simultaneous feature selection and classification, and visualization of the selected features and feature interactions. An implementation of SBFC by Krakovna, Du and Liu (2015), <doi:10.48550/arXiv.1506.02371>.
| Version: | 1.0.3 |
| Depends: | R (≥ 2.10), DiagrammeR |
| Imports: | Rcpp (≥ 0.12.2), Matrix, discretization |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2022-01-15 |
| Author: | Viktoriya Krakovna |
| Maintainer: | Viktoriya Krakovna <vkrakovna at gmail.com> |
| BugReports: | https://github.com/vkrakovna/sbfc/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/vkrakovna/sbfc |
| NeedsCompilation: | yes |
| CRAN checks: | sbfc results |
| Reference manual: | sbfc.pdf |
| Package source: | sbfc_1.0.3.tar.gz |
| Windows binaries: | r-devel: sbfc_1.0.3.zip, r-release: sbfc_1.0.3.zip, r-oldrel: sbfc_1.0.3.zip |
| macOS binaries: | r-release (arm64): sbfc_1.0.3.tgz, r-oldrel (arm64): sbfc_1.0.3.tgz, r-release (x86_64): sbfc_1.0.3.tgz, r-oldrel (x86_64): sbfc_1.0.3.tgz |
| Old sources: | sbfc archive |
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