SamirRachidZaim/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.

Getting started

Package details

Bioconductor views DecisionTree DimensionReduction ExperimentalDesign GenePrediction Software StatisticalMethod
Maintainer
LicenseGPL-2
Version0.0.2
URL https://www.biorxiv.org/content/10.1101/681973v1.abstract
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("SamirRachidZaim/binomialRF")
SamirRachidZaim/binomialRF documentation built on Oct. 9, 2020, 3:16 a.m.