rdiaz02/varSelRF: 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).

Getting started

Package details

AuthorRamon Diaz-Uriarte <[email protected]>
MaintainerRamon Diaz-Uriarte <[email protected]>
LicenseGPL (>= 2)
URL http://ligarto.org/rdiaz/Software/Software.html http://ligarto.org/rdiaz/Papers/rfVS/randomForestVarSel.html https://github.com/rdiaz02/varSelRF
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
rdiaz02/varSelRF documentation built on July 11, 2017, 7:20 p.m.