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A statistical method for reducing the number of covariates in an analysis by evaluating Variable Importance Measures (VIMPs) derived from the Random Forest algorithm. It performs statistical tests on the VIMPs and outputs whether the covariate is significant along with the p-values.
| Version: | 1.0.2 |
| Imports: | dplyr, ggforce, ggplot2, ggpubr, magrittr, parallel, patchwork, ranger, rlang, stats, stringr, tidyr |
| Suggests: | knitr, rmarkdown, spelling, testthat (≥ 3.0.0) |
| Published: | 2025-06-19 |
| DOI: | 10.32614/CRAN.package.shadowVIMP |
| Author: | Tim Mueller [aut], Oktawia Miluch [aut, cre], Staburo GmbH [cph, fnd] |
| Maintainer: | Oktawia Miluch <oktawia.miluch at staburo.de> |
| BugReports: | https://github.com/OktawiaStaburo/shadowVIMP/issues |
| License: | Apache License (≥ 2) |
| URL: | https://github.com/OktawiaStaburo/shadowVIMP |
| NeedsCompilation: | no |
| Language: | en-GB |
| Materials: | README NEWS |
| CRAN checks: | shadowVIMP results |
| Reference manual: | shadowVIMP.pdf |
| Vignettes: |
shadowVIMP-vignette (source, R code) |
| Package source: | shadowVIMP_1.0.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): shadowVIMP_1.0.2.tgz, r-oldrel (arm64): shadowVIMP_1.0.2.tgz, r-release (x86_64): shadowVIMP_1.0.2.tgz, r-oldrel (x86_64): shadowVIMP_1.0.2.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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