Description:

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.

Changes to previous version:

Fetched by r-cran-robot on 2012-02-01 00:00:12.245883

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Tags: R-Cran

Archive: download here

Other available revisons

Version	Changelog	Date
0.7-3	Fetched by r-cran-robot on 2012-02-01 00:00:12.245883	March 24, 2011, 08:16:18
0.7-2	Fetched by r-cran-robot on 2010-08-12 12:52:50.681464	August 12, 2010, 12:52:50
0.7-1	Fetched by r-cran-robot on 2009-11-17 07:16:07.685227	March 4, 2009, 07:16:05
0.6-5	Fetched by r-cran-robot on 2009-03-03 07:16:11.659898	June 24, 2008, 13:38:46

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