r-cran-varSelRF 0.7-3

Ramon Diaz-Uriarte — Thu, 28 Oct 2010 00:00:00 -0000

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.

mloss.org r-cran-varSelRF

r-cran-varSelRF 0.7-3