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.
| Version: | 1.6.1 |
| Depends: | R (≥ 2.15.1) |
| Imports: | randomForest, parallel, ggplot2, gridExtra |
| Published: | 2014-08-12 |
| Author: | Eric Archer |
| Maintainer: | Eric Archer <eric.archer at noaa.gov> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | rfPermute results |
| Reference manual: | rfPermute.pdf |
| Package source: | rfPermute_1.6.1.tar.gz |
| Windows binaries: | r-devel: rfPermute_1.6.1.zip, r-release: rfPermute_1.6.1.zip, r-oldrel: rfPermute_1.6.1.zip |
| OS X Snow Leopard binaries: | r-release: rfPermute_1.6.1.tgz, r-oldrel: rfPermute_1.6.1.tgz |
| OS X Mavericks binaries: | r-release: rfPermute_1.6.1.tgz |
| Old sources: | rfPermute archive |