varSelRF (0.7-2)

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.

Maintainer: Ramon Diaz-Uriarte
Author(s): Ramon Diaz-Uriarte <>

License: GPL (>= 2)

Uses: randomForest, snow, Rmpi
Reverse suggests: varrank

Released over 9 years ago.