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rfvimptest (version 0.1.3)

Sequential Permutation Testing of Random Forest Variable Importance Measures

Description

Sequential permutation testing for statistical significance of predictors in random forests. The main function of the package is rfvimptest(), which allows to test for the statistical significance of predictors in random forests using different (sequential) permutation test strategies. The advantage of sequential over conventional permutation tests is that they are computationally considerably less intensive, as the sequential procedure is stopped as soon as there is sufficient evidence for either the null or the alternative hypothesis.

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Version

Install

install.packages('rfvimptest')

Monthly Downloads

569

Version

0.1.3

License

GPL-3

Maintainer

Roman Hornung

Last Published

January 25th, 2023

Functions in rfvimptest (0.1.3)

hearth2

Data on Coronary Artery Disease
allinone

Apply all available (sequential) permutation testing approaches of variable importance measures with one function call
rfvimptest

Testing the statistical significance of predictors in random forests using sequential permutation testing