binomialRF: 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)) <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.

Package details

AuthorSamir Rachid Zaim [aut, cre]
Bioconductor views DecisionTree DimensionReduction ExperimentalDesign GenePrediction Software StatisticalMethod
MaintainerSamir Rachid Zaim <[email protected]>
LicenseGPL-2
Version0.1.0
URL https://www.biorxiv.org/content/10.1101/681973v1.abstract
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("binomialRF")

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binomialRF documentation built on March 26, 2020, 5:13 p.m.