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varSelRF  

Variable Selection using Random Forests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("varSelRF", "0.7-9")



Attach the package and use:
library("varSelRF")
Maintained by
Ramon Diaz-Uriarte
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2005-05-30
Latest Update: 2017-07-10
Description:
Variable selection from random forests using both backwards variable elimination (for the selection of small sets of non-redundant variables) and selection based on the importance spectrum (somewhat similar to scree plots; for the selection of large, potentially highly-correlated variables). Main applications in high-dimensional data (e.g., microarray data, and other genomics and proteomics applications).
How to cite:
Ramon Diaz-Uriarte (2005). varSelRF: Variable Selection using Random Forests. R package version 0.7-9, https://cran.r-project.org/web/packages/varSelRF. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:58), 0.5-3 (2005-05-30 12:55), 0.6-2 (2005-08-20 23:42), 0.6-3 (2006-09-21 14:11), 0.6-5 (2008-04-17 18:20), 0.7-1 (2009-03-03 21:20), 0.7-2 (2010-06-04 15:24), 0.7-3 (2010-10-28 12:56), 0.7-5 (2014-12-14 12:14), 0.7-8 (2017-07-10 15:54)
Other packages that cited varSelRF R package
View varSelRF citation profile
Other R packages that varSelRF depends, imports, suggests or enhances
Complete documentation for varSelRF
Functions, R codes and Examples using the varSelRF R package
Some associated functions: plot.varSelRF . plot.varSelRFBoot . randomVarImpsRF . randomVarImpsRFplot . selProbPlot . summary.varSelRFBoot . varSelImpSpecRF . varSelRF . varSelRFBoot . 
Some associated R codes: varSelRF.R .  Full varSelRF package functions and examples
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