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pRF: Permutation Significance for Random Forests

Estimate False Discovery Rates (FDRs) for importance metrics from random forest runs.

Version:1.2
Depends:R (≥ 3.1.0)
Imports:ggplot2,permute,randomForest,reshape2,dplyr (≥ 0.4.1),multtest (≥ 2.25.0)
Published:2016-01-11
DOI:10.32614/CRAN.package.pRF
Author:Ankur Chakravarthy
Maintainer:Ankur Chakravarthy <ankur.chakravarthy.10 at ucl.ac.uk>
License:GPL-3
NeedsCompilation:no
CRAN checks:pRF results

Documentation:

Reference manual:pRF.html ,pRF.pdf

Downloads:

Package source: pRF_1.2.tar.gz
Windows binaries: r-devel:pRF_1.2.zip, r-release:pRF_1.2.zip, r-oldrel:pRF_1.2.zip
macOS binaries: r-release (arm64):pRF_1.2.tgz, r-oldrel (arm64):pRF_1.2.tgz, r-release (x86_64):pRF_1.2.tgz, r-oldrel (x86_64):pRF_1.2.tgz
Old sources: pRF archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=pRFto link to this page.


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