Approximate false positive rate control in selection frequency for random forest using the methods described by Ender Konukoglu and Melanie Ganz (2014) <arXiv:1410.2838>. Methods for calculating the selection frequency threshold at false positive rates and selection frequency false positive rate feature selection.
Version: | 0.2.1 |
Imports: | Rcpp, purrr, tibble, magrittr, dplyr |
LinkingTo: | Rcpp |
Suggests: | testthat, randomForest, ranger, parsnip |
Published: | 2019-11-18 |
Author: | Tom Wilson [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 |
Reference manual: | forestControl.pdf |
Package source: | forestControl_0.2.1.tar.gz |
Windows binaries: | r-devel: forestControl_0.2.1.zip, r-release: forestControl_0.2.1.zip, r-oldrel: forestControl_0.2.1.zip |
macOS binaries: | r-release: forestControl_0.2.1.tgz, r-oldrel: forestControl_0.2.1.tgz |
Old sources: | forestControl archive |
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