rfPermute: Estimate Permutation p-Values for Random Forest Importance
Metrics
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:
2.5.5
Depends:
R (≥ 4.1.0)
Imports:
abind (≥ 1.4),
dplyr (≥ 1.0),
ggplot2 (≥ 3.3), grDevices,
gridExtra, methods, parallel,
randomForest (≥ 4.6),
rlang,
scales, stats,
swfscMisc (≥ 1.5),
tibble (≥ 3.1),
tidyr (≥
1.1), utils
Published:
2025年06月10日
Author:
Eric Archer [aut, cre]
Maintainer:
Eric Archer <eric.ivan.archer at gmail.com>
NeedsCompilation:
no
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=rfPermute
to link to this page.