rdiaz02/varSelRF: Variable Selection using Random Forests
Version 0.7-8

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]>
Date of publication2010-06-04 13:24:22
MaintainerRamon Diaz-Uriarte <[email protected]>
LicenseGPL (>= 2)
Version0.7-8
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:
install.packages("devtools")
library(devtools)
install_github("rdiaz02/varSelRF")
rdiaz02/varSelRF documentation built on July 11, 2017, 7:20 p.m.