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)) . 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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("binomialRF")

0.1.0 by Samir Rachid Zaim, 5 days ago


https://www.biorxiv.org/content/10.1101/681973v1.abstract


Browse source code at https://github.com/cran/binomialRF


Authors: Samir Rachid Zaim [aut, cre]


Documentation:   PDF Manual  


GPL-2 license


Imports randomForest, data.table, stats, rlist

Suggests foreach, knitr, rmarkdown, correlbinom


See at CRAN