Estimate Permutation p-Values for Random Forest Importance Metrics R package rfPermute version 2.5.5 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. Software Depends: R (>= 4.1.0) Imports: abind (>= 1.4), dplyr (>= 1.0), ggplot2 (>= 3.3), grDevices, gridExtra, methods, parallel, randomForest (>= 4.6), rlang, scales, stats, swfscMisc (>= 1.5), tibble (>= 3.1), tidyr (>= 1.1), utils Eric Archer <eric.ivan.archer@gmail.com> Comprehensive R Archive Network (CRAN) Eric Archer [aut, cre] GPL (>= 2) 2025-06-10 application/tgz https://CRAN.R-project.org/package=rfPermute doi:10.32614/CRAN.package.rfPermute