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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "binomialRF" in publications use:'
type: software
license: GPL-2.0-only
title: 'binomialRF: Binomial Random Forest Feature Selection'
version: 0.1.0
doi: 10.32614/CRAN.package.binomialRF
abstract: 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)) <https://doi.org/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:
- family-names: Rachid Zaim
  given-names: Samir
  email: samirrachidzaim@math.arizona.edu
repository: https://cranhaven.r-universe.dev
commit: 164f755f063d9c55869c2dddff2859c036c57ca8
url: https://www.biorxiv.org/content/10.1101/681973v1.abstract
date-released: '2026-05-14'
contact:
- family-names: Rachid Zaim
  given-names: Samir
  email: samirrachidzaim@math.arizona.edu