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: | 2.1.5 |
| Depends: | R (≥ 3.2.0), randomForest |
| Imports: | abind, ggplot2, graphics, grDevices, gridExtra, parallel, reshape2, stats, swfscMisc (≥ 1.1.1) |
| Published: | 2016-10-03 |
| 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_2.1.5.tar.gz |
| Windows binaries: | r-devel: rfPermute_2.1.5.zip, r-release: rfPermute_2.1.5.zip, r-oldrel: rfPermute_2.1.5.zip |
| OS X El Capitan binaries: | r-release: rfPermute_2.1.5.tgz |
| OS X Mavericks binaries: | r-oldrel: rfPermute_2.1.5.tgz |
| Old sources: | rfPermute archive |
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