Other packages > Find by keyword >

vita  

Variable Importance Testing Approaches
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
[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 05 Jun. 2026.
Previous versions and publish date:
No previous versions
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  
ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA