An ensemble method for the statistical detection of a rare class in two-class classification problems. The method uses an ensemble of classifiers where the constituent models of the ensemble use disjoint subsets (phalanxes) of explanatory variables. We provide an implementation of the phalanx-formation algorithm. Please see Tomal et al. (2015) <doi:10.1214/14-AOAS778>, Tomal et al. (2016) <doi:10.1021/acs.jcim.5b00663>, and Tomal et al. (2019) <arXiv:1706.06971> for more details.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.6.0), foreach, randomForest |
| Imports: | nnet, doParallel, doRNG, rngtools |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2020-07-14 |
| Author: | Jabed Tomal [aut, cre], Grace Hsu [aut], William Welch [aut], Marcia Wang [ctb] |
| Maintainer: | Jabed Tomal <jtomal at tru.ca> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | EPX results |
| Reference manual: | EPX.pdf |
| Package source: | EPX_1.0.2.tar.gz |
| Windows binaries: | r-devel: EPX_1.0.2.zip, r-release: EPX_1.0.2.zip, r-oldrel: EPX_1.0.2.zip |
| macOS binaries: | r-release: EPX_1.0.2.tgz, r-oldrel: EPX_1.0.2.tgz |
| Old sources: | EPX archive |
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