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 2009-03-03 07:16:11.659898

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: None

Tags: R-Cran

Archive: download here

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