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
Published: 2022年02月09日
Author: Tom Wilson ORCID iD [aut, cre], Jasen Finch [aut]
Maintainer: Tom Wilson <tpw2 at aber.ac.uk>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: NEWS
CRAN checks: forestControl results

Documentation:

Vignettes: Getting_started (source, R code)

Downloads:

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

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