Package: varSelRF
Version: 0.7-3
Date: 2010-10-28
Title: Variable selection using random forests
Author: Ramon Diaz-Uriarte <rdiaz02@gmail.com>
Maintainer: Ramon Diaz-Uriarte <rdiaz02@gmail.com>
Depends: R (>= 2.0.0), randomForest
Suggests: snow
Enhances: Rmpi
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). You can
        use rpvm instead of Rmpi if you want but I've only tested with
        Rmpi.
LazyLoad: Yes
License: GPL (>= 2)
URL: http://ligarto.org/rdiaz/Software/Software.html,
http: //ligarto.org/rdiaz/Papers/rfVS/randomForestVarSel.html
Repository: CRAN
Date/Publication: 2010-10-28 10:56:38
Packaged: 2010-10-28 10:41:24 UTC; ramon