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:
binomialRF_0.1.0.tar.gz
binomialRF_0.1.0.zip(r-4.7)binomialRF_0.1.0.zip(r-4.6)binomialRF_0.1.0.zip(r-4.5)
binomialRF_0.1.0.tgz(r-4.6-any)binomialRF_0.1.0.tgz(r-4.5-any)
binomialRF_0.1.0.tar.gz(r-4.7-any)binomialRF_0.1.0.tar.gz(r-4.6-any)
binomialRF_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
binomialRF/json (API)
NEWS
| # Install 'binomialRF' in R: |
| install.packages('binomialRF', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues
- pmf_list - A prebuilt distribution for correlated binary data
softwaregenepredictionstatisticalmethoddecisiontreedimensionreductionexperimentaldesignarchivedpackagesr-universe
Last updated from:164f755f06 (on package/binomialRF). Checks:9 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 115 | ||
| source / vignettes | OK | 184 | ||
| linux-release-x86_64 | OK | 99 | ||
| macos-release-arm64 | OK | 82 | ||
| macos-oldrel-arm64 | OK | 86 | ||
| windows-devel | OK | 96 | ||
| windows-release | OK | 72 | ||
| windows-oldrel | OK | 70 | ||
| wasm-release | OK | 103 |
Exports:binomialRFcalculateBinomialPcalculateBinomialP_Interactiongeneset_binomialRFk_binomialRF
Dependencies:data.tablejsonliterandomForestrlistXMLyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| random forest feature selection based on binomial exact test | .cv_binomialRF |
| random forest feature selection based on binomial exact test | binomialRF |
| calculate the probability, p, to conduct a binomial exact test | calculateBinomialP |
| calculate the probability, p, to conduct a binomial exact test | calculateBinomialP_Interaction |
| random forest feature selection based on binomial exact test | geneset_binomialRF |
| random forest feature selection based on binomial exact test | k_binomialRF |
| A prebuilt distribution for correlated binary data | pmf_list |