Package: varSelRF
Version: 0.7-9
Date: 2026-01-30
Title: Variable Selection using Random Forests
Authors@R: person(given = "Ramon",
                      family = "Diaz-Uriarte",
                      role = c("aut", "cre"),
                      email = "rdiaz02@gmail.com")
Maintainer: Ramon Diaz-Uriarte <rdiaz02@gmail.com>
Depends: R (>= 2.0.0), randomForest, parallel
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).
LazyLoad: Yes
License: GPL (>= 2)
URL: https://ligarto.org/rdiaz/Software/Software.html,
        https://github.com/rdiaz02/varSelRF
Packaged: 2026-07-04 15:49:46 UTC; root
Repository: https://rdiaz02.r-universe.dev
Date/Publication: 2026-01-31 09:44:49 UTC
RemoteUrl: https://github.com/rdiaz02/varselrf
RemoteRef: HEAD
RemoteSha: b47ebd444ec878a7a8ec06e6b10768eb41d4f92a
NeedsCompilation: no
Author: Ramon Diaz-Uriarte [aut, cre]