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varSelRF

0.6-3
Package: 
varSelRF
Variable selection using random forests
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.
Author: 
Ramon Diaz-Uriarte <rdiaz@ligarto.org>
License: 
GPL version 2 or newer
http://www.r-project.org, http://ligarto.org/rdiaz/Software/Software.html,