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: 2.5
Depends: R (≥ 4.0.0)
Imports: abind, dplyr, ggplot2, grDevices, gridExtra, magrittr, methods, parallel, randomForest, rlang, plyr, scales, stats, swfscMisc (≥ 1.5), tibble, tidyr, utils
Published: 2021-09-27
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

Documentation:

Reference manual: rfPermute.pdf

Downloads:

Package source: rfPermute_2.5.tar.gz
Windows binaries: r-devel: rfPermute_2.5.zip, r-release: rfPermute_2.5.zip, r-oldrel: rfPermute_2.5.zip
macOS binaries: r-release (arm64): rfPermute_2.5.tgz, r-release (x86_64): rfPermute_2.5.tgz, r-oldrel: rfPermute_2.5.tgz
Old sources: rfPermute archive

Reverse dependencies:

Reverse imports: banter

Linking:

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