Package: binomialRF
Type: Package
Title: Binomial Random Forest Feature Selection
Version: 0.1.0
Authors@R: person("Samir", "Rachid Zaim", email = "samirrachidzaim@math.arizona.edu", role = c("aut", "cre"))
URL: https://www.biorxiv.org/content/10.1101/681973v1.abstract
Description: 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. 
License: GPL-2
Encoding: UTF-8
LazyData: true
biocViews: Software, GenePrediction, StatisticalMethod, DecisionTree,
        DimensionReduction, ExperimentalDesign
Imports: randomForest, data.table, stats, rlist
Suggests: foreach, knitr, rmarkdown, correlbinom
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-26 16:11:02 UTC; samirrachidzaim-admin
Author: Samir Rachid Zaim [aut, cre]
Maintainer: Samir Rachid Zaim <samirrachidzaim@math.arizona.edu>
Repository: CRAN
Date/Publication: 2020-03-26 17:00:13 UTC
Built: R 4.6.0; ; 2026-04-25 23:57:40 UTC; unix
