Welcome to ClientVPS Mirrors

CRAN: Package forestControl

forestControl: Approximate False Positive Rate Control in Selection Frequency for Random Forest

Approximate false positive rate control in selection frequency for random forest using the methods described by Ender Konukoglu and Melanie Ganz (2014) <doi:10.48550/arXiv.1410.2838>. Methods for calculating the selection frequency threshold at false positive rates and selection frequency false positive rate feature selection.

Version: 0.2.2
Imports: Rcpp, purrr, tibble, magrittr, dplyr
LinkingTo: Rcpp
Suggests: testthat, randomForest, ranger, parsnip, knitr, rmarkdown
Published: 2022-02-09
DOI: 10.32614/CRAN.package.forestControl
Author: Tom Wilson ORCID iD [aut, cre], Jasen Finch [aut]
Maintainer: Tom Wilson <tpw2 at aber.ac.uk>
BugReports: https://github.com/aberHRML/forestControl/issues
License: MIT + file LICENSE
URL: https://github.com/aberHRML/forestControl
NeedsCompilation: yes
Citation: forestControl citation info
Materials: NEWS
CRAN checks: forestControl results

Documentation:

Reference manual: forestControl.html , forestControl.pdf
Vignettes: Getting_started (source, R code)

Downloads:

Package source: forestControl_0.2.2.tar.gz
Windows binaries: r-devel: forestControl_0.2.2.zip, r-release: forestControl_0.2.2.zip, r-oldrel: forestControl_0.2.2.zip
macOS binaries: r-release (arm64): forestControl_0.2.2.tgz, r-oldrel (arm64): forestControl_0.2.2.tgz, r-release (x86_64): forestControl_0.2.2.tgz, r-oldrel (x86_64): forestControl_0.2.2.tgz
Old sources: forestControl archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=forestControl to link to this page.

Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.

This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.