rfPermute: Estimate Permutation p-Values for Random Forest Importance Metrics

Estimate significance of importance metrics for a Random Forest model by permuting the response variable. Produces null distribution of importance metrics for each predictor variable and p-value of observed.

Version: 2.0
Depends: R (≥ 3.2.0), randomForest
Imports: abind, ggplot2, graphics, grDevices, gridExtra, stats, swfscMisc
Published: 2016-03-03
Author: Eric Archer
Maintainer: Eric Archer <eric.archer at noaa.gov>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: rfPermute results


Reference manual: rfPermute.pdf
Package source: rfPermute_2.0.tar.gz
Windows binaries: r-devel: rfPermute_2.0.zip, r-release: rfPermute_2.0.zip, r-oldrel: rfPermute_1.6.2.zip
OS X Snow Leopard binaries: r-release: rfPermute_2.0.tgz, r-oldrel: rfPermute_1.6.2.tgz
OS X Mavericks binaries: r-release: rfPermute_2.0.tgz
Old sources: rfPermute archive