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. Provides summary and visualization functions for 'randomForest' results.

Version: 2.1.81
Depends: R (≥ 3.2.0), randomForest
Imports: abind, dplyr, ggplot2, grDevices, gridExtra, magrittr, parallel, rlang, scales, stats, swfscMisc (≥ 1.3), tibble, tidyr, utils
Published: 2020-02-23
Author: Eric Archer [aut, cre]
Maintainer: Eric Archer <eric.archer at noaa.gov>
BugReports: https://github.com/EricArcher/rfPermute/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/EricArcher/rfPermute
NeedsCompilation: no
Materials: README
CRAN checks: rfPermute results


Reference manual: rfPermute.pdf
Package source: rfPermute_2.1.81.tar.gz
Windows binaries: r-devel: rfPermute_2.1.81.zip, r-release: rfPermute_2.1.81.zip, r-oldrel: rfPermute_2.1.81.zip
macOS binaries: r-release: rfPermute_2.1.81.tgz, r-oldrel: rfPermute_2.1.81.tgz
Old sources: rfPermute archive

Reverse dependencies:

Reverse imports: banter


Please use the canonical form https://CRAN.R-project.org/package=rfPermute to link to this page.