Package: rfPermute
Type: Package
Title: Estimate Permutation p-Values for Random Forest Importance
        Metrics
Description: 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.
Version: 2.5.5
Authors@R: c(
  EA = person("Eric", "Archer", email = "eric.ivan.archer@gmail.com", role = c("aut", "cre")))
URL: https://github.com/SWFSC/rfPermute
BugReports: https://github.com/SWFSC/rfPermute/issues
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
Collate: rfPermute-package.R dataSets.R internals.R rfPermute.R
        summary.R importance.R combineRP.R classPriors.R
        confusionMatrix.R casePredictions.R pctCorrect.R plotInbag.R
        plotImpPreds.R plotNull.R plotPredictedProbs.R plotProximity.R
        plotTrace.R plotVotes.R balancedSampsize.R cleanRFdata.R
LazyData: TRUE
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-06-08 18:57:11 UTC; eric
Author: Eric Archer [aut, cre]
Maintainer: Eric Archer <eric.ivan.archer@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-10 13:00:05 UTC
Built: R 4.4.3; ; 2026-01-19 05:00:41 UTC; windows
