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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
Browse package contents
Package details |
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| Author | Samir Rachid Zaim [aut, cre] |
| Bioconductor views | DecisionTree DimensionReduction ExperimentalDesign GenePrediction Software StatisticalMethod |
| Maintainer | Samir Rachid Zaim <samirrachidzaim@math.arizona.edu> |
| License | GPL-2 |
| Version | 0.1.0 |
| URL | https://www.biorxiv.org/content/10.1101/681973v1.abstract |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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