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: 1.6.1
Depends: R (≥ 2.15.1)
Imports: randomForest, parallel, ggplot2, gridExtra
Published: 2014-08-12
Author: Eric Archer
Maintainer: Eric Archer <eric.archer at noaa.gov>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: rfPermute results


Reference manual: rfPermute.pdf
Package source: rfPermute_1.6.1.tar.gz
Windows binaries: r-devel: rfPermute_1.6.1.zip, r-release: rfPermute_1.6.1.zip, r-oldrel: rfPermute_1.6.1.zip
OS X Snow Leopard binaries: r-release: rfPermute_1.6.1.tgz, r-oldrel: rfPermute_1.6.1.tgz
OS X Mavericks binaries: r-release: rfPermute_1.6.1.tgz
Old sources: rfPermute archive