Package: VSURF
Type: Package
Title: Variable Selection Using Random Forests
Version: 1.2.1.999
Date: 2025-10-21
Depends: R (>= 4.2.0)
Authors@R: c(person("Robin", "Genuer", email = "Robin.Genuer@u-bordeaux.fr", role = c("aut", "cre")),
             person("Jean-Michel", "Poggi", role = "aut"),
             person("Christine", "Tuleau-Malot", role = "aut"))
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/articles/RJ-2015-018/>.
License: GPL (>= 2)
LazyData: true
URL: https://github.com/robingenuer/VSURF
BugReports: https://github.com/robingenuer/VSURF/issues
Imports: doParallel, foreach, parallel, randomForest, rpart
Suggests: testthat, ranger, Rborist
RoxygenNote: 7.3.3
Encoding: UTF-8
Repository: https://robingenuer.r-universe.dev
Date/Publication: 2025-11-20 08:00:49 UTC
RemoteUrl: https://github.com/robingenuer/vsurf
RemoteRef: HEAD
RemoteSha: 2649f36e89925e7bd889dd66cfd739078a629862
NeedsCompilation: no
Packaged: 2026-07-04 13:41:14 UTC; root
Author: Robin Genuer [aut, cre],
  Jean-Michel Poggi [aut],
  Christine Tuleau-Malot [aut]
Maintainer: Robin Genuer <Robin.Genuer@u-bordeaux.fr>