Estimate permutation p-values for Random Forest importance
metrics.
'plot.rfPermute.R' 'rfPermute.R' 'rfPermute.default.R'
'rfPermute.formula.R' 'rp.importance.R'

R (>= 2.15.1), randomForest, parallel, ggplot2, gridExtra
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.
'plot.rfPermute.R' 'rfPermute.R' 'rfPermute.default.R'
'rfPermute.formula.R' 'rp.importance.R' 'plot.rp.importance.r'
'proximity.plot.r' 'clean.rf.data.R'

Estimate Permutation p-values for Random Forest Importance
Metrics.

Estimate Permutation p-Values for Random Forest Importance
Metrics

graphics, grDevices, grid, gridExtra, stats

c(
EA = person("Eric", "Archer", email = "eric.archer@noaa.gov", role = c("aut", "cre")))
abind, ggplot2, graphics, grDevices, gridExtra, parallel,
reshape2, stats, swfscMisc

abind, ggplot2, graphics, grDevices, gridExtra, stats,
swfscMisc

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.

abind, ggplot2, graphics, grDevices, gridExtra, parallel,
reshape2, stats, swfscMisc (>= 1.1.1)

abind, dplyr, ggplot2, grDevices, gridExtra, magrittr,
parallel, plyr, reshape2, rlang, scales, stats, swfscMisc (>=
1.1.1), tibble, tidyr, utils, viridis

abind, dplyr, ggplot2, grDevices, gridExtra, magrittr,
parallel, plyr, reshape2, rlang, scales, stats, swfscMisc (>=
1.1.1), tibble, tidyr, utils

abind, dplyr, ggplot2, grDevices, gridExtra, magrittr,
parallel, rlang, scales, stats, swfscMisc (>= 1.3), tibble,
tidyr, utils

abind, dplyr, ggplot2, grDevices, gridExtra, magrittr,
parallel, rlang, scales, stats, swfscMisc (>= 1.4), tibble,
tidyr, utils

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
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