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: |
2.5.6 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
abind (≥ 1.4), dplyr (≥ 1.0), ggplot2 (≥ 3.3), grDevices, gridExtra, methods, parallel, pROC, randomForest (≥ 4.6), rlang, scales, stats, swfscMisc (≥ 1.5), tibble (≥ 3.1), tidyr (≥ 1.1), utils |
| Published: |
2026-10-08 |
| DOI: |
10.32614/CRAN.package.rfPermute |
| Author: |
Eric Archer [aut, cre] |
| Maintainer: |
Eric Archer <eric.ivan.archer at gmail.com> |
| BugReports: |
https://github.com/SWFSC/rfPermute/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/SWFSC/rfPermute |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
rfPermute results |
Documentation:
Downloads:
Reverse dependencies:
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