Package: binomialRF 0.1.0

Samir Rachid Zaim

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.

Authors:Samir Rachid Zaim [aut, cre]

binomialRF_0.1.0.tar.gz
binomialRF_0.1.0.tar.gz(r-4.5-noble)binomialRF_0.1.0.tar.gz(r-4.4-noble)
binomialRF_0.1.0.tgz(r-4.4-emscripten)binomialRF_0.1.0.tgz(r-4.3-emscripten)
binomialRF.pdf |binomialRF.html✨
binomialRF/json (API)
NEWS

# Install 'binomialRF' in R:
install.packages('binomialRF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • pmf_list - A prebuilt distribution for correlated binary data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

softwaregenepredictionstatisticalmethoddecisiontreedimensionreductionexperimentaldesign

2.70 score 1 scripts 308 downloads 1 mentions 5 exports 6 dependencies

Last updated 5 years agofrom:f29cabf788. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-linuxOKNov 13 2024

Exports:binomialRFcalculateBinomialPcalculateBinomialP_Interactiongeneset_binomialRFk_binomialRF

Dependencies:data.tablejsonliterandomForestrlistXMLyaml

binomialRF Feature Selection Vignette

Samir Rachid Zaim

Rendered frommy-vignette.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2020-03-26
Started: 2020-01-31