DESCRIPTION

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: 2.5.2
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: 7.2.3