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
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, dplyr, ggplot2, grDevices, gridExtra, magrittr,
        methods, parallel, randomForest, rlang, plyr, scales, stats,
        swfscMisc (>= 1.5), tibble, tidyr, 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: 2021-09-23 18:30:06 UTC; ericarcher
Author: Eric Archer [aut, cre]
Maintainer: Eric Archer <eric.archer@noaa.gov>
Repository: CRAN
Date/Publication: 2021-09-27 14:10:05 UTC
