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: 2.5.1
Authors@R: c(
  EA = person("Eric", "Archer", email = "eric.archer@noaa.gov", role = c("aut", "cre")))
URL: https://github.com/EricArcher/rfPermute
BugReports: https://github.com/EricArcher/rfPermute/issues
Depends: R (>= 4.0.0)
Imports: abind (>= 1.4), dplyr (>= 1.0), ggplot2 (>= 3.3), grDevices,
        gridExtra, magrittr (>= 2.0), 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: 7.1.2
NeedsCompilation: no
Packaged: 2022-03-10 18:38:34 UTC; ericarcher
Author: Eric Archer [aut, cre]
Maintainer: Eric Archer <eric.archer@noaa.gov>
Repository: CRAN
Date/Publication: 2022-03-10 19:10:02 UTC
Built: R 4.0.5; ; 2022-04-21 12:56:11 UTC; windows
