binomialRF: Binomial Random Forest Feature Selection

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
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 <samirrachidzaim at>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: binomialRF results


Reference manual: binomialRF.pdf
Vignettes: "binomialRF Feature Selection Vignette"


Package source: binomialRF_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): binomialRF_0.1.0.tgz, r-oldrel (arm64): binomialRF_0.1.0.tgz, r-release (x86_64): binomialRF_0.1.0.tgz, r-oldrel (x86_64): binomialRF_0.1.0.tgz
Old sources: binomialRF archive


Please use the canonical form to link to this page.