rfPermute-package

Random Forest Predictor Importance Significance and Model Diagnostics.

internal

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.

Eric Archer

rfPermute

Estimate Permutation p-Values for Random Forest Importance
Metrics

rfPermute-package function

Maintainer: Eric Archer <a href="/link/eric.ivan.archer%40gmail.com?package=rfPermute&version=2.5.5" data-mini-rdoc="rfPermute::eric.ivan.archer@gmail.com">eric.ivan.archer@gmail.com</a>

Author

rfPermute package — rfPermute-package

Maintainer: Eric Archer <a href='mailto:eric.ivan.archer@gmail.com'>eric.ivan.archer@gmail.com</a>

rfPermute-package: `rfPermute` package

Description

Arguments

Author

See Also