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: 0.0.2
Imports: randomForest, ggplot2, data.table, stats, rlist, methods
Suggests: foreach, knitr, rmarkdown, correlbinom
Published: 2020-02-19
Author: Samir Rachid Zaim [aut, cre]
Maintainer: Samir Rachid Zaim <samirrachidzaim at math.arizona.edu>
License: GPL-2
URL: https://www.biorxiv.org/content/10.1101/681973v1.abstract
NeedsCompilation: no
Materials: README NEWS
CRAN checks: binomialRF results

Downloads:

Reference manual: binomialRF.pdf
Vignettes: "binomialRF Feature Selection Vignette"
Package source: binomialRF_0.0.2.tar.gz
Windows binaries: r-devel: binomialRF_0.0.1.zip, r-devel-gcc8: binomialRF_0.0.2.zip, r-release: binomialRF_0.0.2.zip, r-oldrel: binomialRF_0.0.2.zip
OS X binaries: r-release: binomialRF_0.0.2.tgz, r-oldrel: binomialRF_0.0.2.tgz
Old sources: binomialRF archive

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