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vita
View on CRAN: Click
here
Download and install vita package within the R console
Install from CRAN:
install.packages("vita")
Install from Github:
library("remotes")
install_github("cran/vita") Install by package version:
library("remotes")
install_version("vita", "1.0.0") Attach the package and use:
library("vita")
Maintained by
Ender Celik
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-14
Latest Update: 2015-12-14
Description:
Implements the novel testing approach by Janitza et al.(2015) <http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-25587-4> for the permutation variable importance measure in a random forest and the PIMP-algorithm by Altmann et al.(2010) <doi:10.1093/bioinformatics/btq134>. Janitza et al.(2015) <http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-25587-4> do not use the "standard" permutation variable importance but the cross-validated permutation variable importance for the novel test approach. The cross-validated permutation variable importance is not based on the out-of-bag observations but uses a similar strategy which is inspired by the cross-validation procedure. The novel test approach can be applied for classification trees as well as for regression trees. However, the use of the novel testing approach has not been tested for regression trees so far, so this routine is meant for the expert user only and its current state is rather experimental.
How to cite:
Ender Celik (2015). vita: Variable Importance Testing Approaches. R package version 1.0.0, https://cran.r-project.org/web/packages/vita. Accessed 04 Jun. 2026.
Previous versions and publish date:
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Other packages that cited vita R package
View vita citation profile
Other R packages that vita depends,
imports, suggests or enhances
Complete documentation for vita
Functions, R codes and Examples using
the vita R package
Some associated functions: CVPVI . NTA . PIMP . PimpTest . VarImpCVl . compVarImp . summary.NTA . summary.PimpTest . vita-package .
Some associated R codes: CVPVI.R . NTA.R . PIMP.R . PimpTest.R . RcppExports.R . VarImpCVl.R . compVarImp.R . summaryNTA.R . summaryPimpTest.R . Full vita package functions and examples
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