binomialRF: Binomial Random Forest Feature Selection (original) (raw)
The 'binomialRF' is a new feature selection technique for decision trees that aims at providing an alternative approach to identify significant feature subsets using binomial distributional assumptions (Rachid Zaim, S., et al. (2019)) <doi:10.1101/681973>. Treating each splitting variable selection as a set of exchangeable correlated Bernoulli trials, 'binomialRF' then tests whether a feature is selected more often than by random chance.
Version: | 0.1.0 |
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Imports: | randomForest, data.table, stats, rlist |
Suggests: | foreach, knitr, rmarkdown, correlbinom |
Published: | 2020-03-26 |
DOI: | 10.32614/CRAN.package.binomialRF |
Author: | Samir Rachid Zaim [aut, cre] |
Maintainer: | Samir Rachid Zaim |
License: | GPL-2 |
URL: | https://www.biorxiv.org/content/10.1101/681973v1.abstract |
NeedsCompilation: | no |
Materials: | README, |
CRAN checks: | binomialRF results |
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