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: | 2.5.1 |
Depends: | R (≥ 4.0.0) |
Imports: | abind (≥ 1.4), dplyr (≥ 1.0), ggplot2 (≥ 3.3), grDevices, gridExtra, magrittr (≥ 2.0), methods, parallel, randomForest (≥ 4.6), rlang, scales, stats, swfscMisc (≥ 1.5), tibble (≥ 3.1), tidyr (≥ 1.1), utils |
Published: | 2022-03-10 |
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_2.5.1.tar.gz |
Windows binaries: | r-devel: rfPermute_2.5.1.zip, r-release: rfPermute_2.5.1.zip, r-oldrel: rfPermute_2.5.1.zip |
macOS binaries: | r-release (arm64): rfPermute_2.5.1.tgz, r-oldrel (arm64): rfPermute_2.5.1.tgz, r-release (x86_64): rfPermute_2.5.1.tgz, r-oldrel (x86_64): rfPermute_2.5.1.tgz |
Old sources: | rfPermute archive |
Reverse imports: | banter |
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