pRF: Permutation Significance for Random Forests

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

Version: 1.1
Depends: R (≥ 3.1.0), dplyr (≥ 0.4.1), multtest (≥ 2.25.0)
Imports: ggplot2, permute, randomForest, reshape2, magrittr
Published: 2015-11-05
Author: Ankur Chakravarthy
Maintainer: Ankur Chakravarthy <ankur.chakravarthy.10 at ucl.ac.uk>
License: GPL-3
NeedsCompilation: no
CRAN checks: pRF results

Downloads:

Reference manual: pRF.pdf
Package source: pRF_1.1.tar.gz
Windows binaries: r-devel: pRF_1.1.zip, r-release: pRF_1.1.zip, r-oldrel: pRF_1.0.zip
OS X Snow Leopard binaries: r-release: not available, r-oldrel: pRF_1.0.tgz
OS X Mavericks binaries: r-release: pRF_1.0.tgz
Old sources: pRF archive