Package: binomialRF 0.1.0

Samir Rachid Zaim

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.

Authors:Samir Rachid Zaim [aut, cre]

binomialRF_0.1.0.tar.gz
binomialRF_0.1.0.zip(r-4.7)binomialRF_0.1.0.zip(r-4.6)binomialRF_0.1.0.zip(r-4.5)
binomialRF_0.1.0.tgz(r-4.6-any)binomialRF_0.1.0.tgz(r-4.5-any)
binomialRF_0.1.0.tar.gz(r-4.7-any)binomialRF_0.1.0.tar.gz(r-4.6-any)
binomialRF_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
binomialRF/json (API)
NEWS

# Install 'binomialRF' in R:
install.packages('binomialRF', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

Datasets:
  • pmf_list - A prebuilt distribution for correlated binary data

On CRAN:

Conda:

softwaregenepredictionstatisticalmethoddecisiontreedimensionreductionexperimentaldesignarchivedpackagesr-universe

3.40 score 5 stars 1 scripts 221 downloads 1 mentions 5 exports 6 dependencies

Last updated from:164f755f06 (on package/binomialRF). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK115
source / vignettesOK184
linux-release-x86_64OK99
macos-release-arm64OK82
macos-oldrel-arm64OK86
windows-develOK96
windows-releaseOK72
windows-oldrelOK70
wasm-releaseOK103

Exports:binomialRFcalculateBinomialPcalculateBinomialP_Interactiongeneset_binomialRFk_binomialRF

Dependencies:data.tablejsonliterandomForestrlistXMLyaml

binomialRF Feature Selection Vignette

Rendered frommy-vignette.Rmdusingknitr::rmarkdownon May 14 2026.

Last update: 2026-05-14
Started: 2026-05-14