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rfvimptest  

Sequential Permutation Testing of Random Forest Variable Importance Measures
View on CRAN: Click here


Download and install rfvimptest package within the R console
Install from CRAN:
install.packages("rfvimptest")

Install from Github:
library("remotes")
install_github("cran/rfvimptest")

Install by package version:
library("remotes")
install_version("rfvimptest", "0.1.3")



Attach the package and use:
library("rfvimptest")
Maintained by
Roman Hornung
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-29
Latest Update: 2023-01-25
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.
How to cite:
Roman Hornung (2022). rfvimptest: Sequential Permutation Testing of Random Forest Variable Importance Measures. R package version 0.1.3, https://cran.r-project.org/web/packages/rfvimptest. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.1 (2022-03-29 10:10), 0.1.2 (2022-06-07 11:00)
Other packages that cited rfvimptest R package
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Other R packages that rfvimptest depends, imports, suggests or enhances
Complete documentation for rfvimptest
Functions, R codes and Examples using the rfvimptest R package
Some associated functions: allinone . hearth2 . rfvimptest . 
Some associated R codes: allinone.R . hearth2.R . print.R . rfvimptest.R .  Full rfvimptest package functions and examples
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