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VSURF  

Variable Selection Using Random Forests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("VSURF", "1.2.1")



Attach the package and use:
library("VSURF")
Maintained by
Robin Genuer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-05-28
Latest Update: 2025-09-01
Description:
Three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of observations), the package is very versatile and can treat most dimensions of data, for regression and supervised classification problems. First step is dedicated to eliminate irrelevant variables from the dataset. Second step aims to select all variables related to the response for interpretation purpose. Third step refines the selection by eliminating redundancy in the set of variables selected by the second step, for prediction purpose. Genuer, R. Poggi, J.-M. and Tuleau-Malot, C. (2015) <https://journal.r-project.org/archive/2015-2/genuer-poggi-tuleaumalot.pdf>.
How to cite:
Robin Genuer (2013). VSURF: Variable Selection Using Random Forests. R package version 1.2.1, https://cran.r-project.org/web/packages/VSURF. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-10-27 10:00), 0.5 (2013-05-28 17:36), 0.6 (2013-07-26 12:25), 0.7.5 (2013-10-07 18:21), 0.7.6 (2013-11-13 14:05), 0.7 (2013-09-10 12:27), 0.8.1 (2014-02-05 10:14), 0.8.2 (2014-05-12 16:19), 0.8 (2013-12-18 17:54), 1.0.0 (2015-05-15 12:44), 1.0.1 (2015-10-12 13:46), 1.0.2 (2015-10-15 15:21), 1.0.3 (2016-04-26 16:50), 1.0.4 (2018-04-10 12:08), 1.1.0 (2019-07-18 08:36), 1.2.0 (2024-07-16 16:23), 1.2.1 (2025-10-21 18:10)
Other packages that cited VSURF R package
View VSURF citation profile
Other R packages that VSURF depends, imports, suggests or enhances
Complete documentation for VSURF
Functions, R codes and Examples using the VSURF R package
Some associated functions: PM10 . VSURF . VSURF_interp . VSURF_pred . VSURF_thres . plot.VSURF . predict.VSURF . print.VSURF . summary.VSURF . toys . tune . 
Some associated R codes: PM10.R . VSURF.R . VSURF_interp.R . VSURF_pred.R . VSURF_thres.R . plot.VSURF.R . predict.VSURF.R . print.VSURF.R . summary.VSURF.R . toys.R . tune.R .  Full VSURF package functions and examples
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