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: |
1.0.4 |
| Depends: |
R (≥ 3.6.0), foreach, randomForest, doRNG |
| Imports: |
nnet, doParallel, rngtools |
| Suggests: |
knitr, rmarkdown, testthat |
| Published: |
2021-07-06 |
| 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 |
Documentation:
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