EPX: Ensemble of Phalanxes

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: 1.0.3
Depends: R (≥ 3.6.0), foreach, randomForest, doRNG
Imports: nnet, doParallel, rngtools
Suggests: knitr, rmarkdown, testthat
Published: 2020-09-20
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
Vignettes: How to use the EPX package
Package source: EPX_1.0.3.tar.gz
Windows binaries: r-devel: EPX_1.0.3.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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