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>
License: GPL-3
NeedsCompilation: no
CRAN checks: pRF results


Reference manual: pRF.pdf


Package source: pRF_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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