Covariate Selection Based on VIMP Permutation-Like Testing R package shadowVIMP version 1.0.2 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. Software Imports: dplyr, ggforce, ggplot2, ggpubr, magrittr, parallel, patchwork, ranger, rlang, stats, stringr, tidyr Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0) Oktawia Miluch <oktawia.miluch@staburo.de> Comprehensive R Archive Network (CRAN) Tim Mueller [aut], Oktawia Miluch [aut, cre], Staburo GmbH [cph, fnd] Apache License (>= 2) 2025-06-19 application/tgz https://CRAN.R-project.org/package=shadowVIMP doi:10.32614/CRAN.package.shadowVIMP en-GB