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: 2.5.6
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, pROC, 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
        rfROC.R
LazyData: TRUE
License: GPL (>= 2)
Encoding: UTF-8
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-10-08 00:08:16 UTC; eric
Author: Eric Archer [aut, cre]
Maintainer: Eric Archer <eric.ivan.archer@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 07:50:02 UTC
Built: R 4.5.3; ; 2026-10-09 08:25:26 UTC; windows
