Package: binomialRF
Type: Package
Title: Binomial Random Forest Feature Selection
Version: 0.0.1
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, ggplot2, data.table, stats, rlist, correlbinom,
        parallel,Rmpfr, methods
Suggests: foreach, knitr, rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-20 15:57:55 UTC; samirrachidzaim-admin
Author: Samir Rachid Zaim [aut, cre]
Maintainer: Samir Rachid Zaim <samirrachidzaim@math.arizona.edu>
Repository: CRAN
Date/Publication: 2020-01-31 14:40:05 UTC
