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.


Reference manual

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0.1.0 by Samir Rachid Zaim, 5 days ago

Browse source code at

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