Package

r-varselrf

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).

Note