CRAN: Package shadowVIMP

shadowVIMP: Covariate Selection Based on VIMP Permutation-Like Testing

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年06月19日

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

Documentation:

Reference manual: shadowVIMP.html , shadowVIMP.pdf

Vignettes: shadowVIMP-vignette (source, R code)

Downloads:

Package source: shadowVIMP_1.0.2.tar.gz

Windows binaries: r-devel: shadowVIMP_1.0.2.zip, r-release: shadowVIMP_1.0.2.zip, r-oldrel: shadowVIMP_1.0.2.zip

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

Linking:

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