The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 0.1.0 |
| Imports: | randomForest, data.table, stats, rlist |
| Suggests: | foreach, knitr, rmarkdown, correlbinom |
| Published: | 2020-03-26 |
| DOI: | 10.32614/CRAN.package.binomialRF |
| Author: | Samir Rachid Zaim [aut, cre] |
| Maintainer: | Samir Rachid Zaim <samirrachidzaim at math.arizona.edu> |
| License: | GPL-2 |
| URL: | https://www.biorxiv.org/content/10.1101/681973v1.abstract |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | binomialRF results |
| Reference manual: | binomialRF.pdf |
| Vignettes: |
"binomialRF Feature Selection Vignette" |
| Package source: | binomialRF_0.1.0.tar.gz |
| Windows binaries: | r-devel: binomialRF_0.1.0.zip, r-release: binomialRF_0.1.0.zip, r-oldrel: binomialRF_0.1.0.zip |
| macOS binaries: | r-release (arm64): binomialRF_0.1.0.tgz, r-oldrel (arm64): binomialRF_0.1.0.tgz, r-release (x86_64): binomialRF_0.1.0.tgz, r-oldrel (x86_64): binomialRF_0.1.0.tgz |
| Old sources: | binomialRF archive |
Please use the canonical form https://CRAN.R-project.org/package=binomialRF to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.