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 <rdiaz02@gmail.com>
Date of publication2017-07-10 13:54:22 UTC
MaintainerRamon Diaz-Uriarte <rdiaz02@gmail.com>
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 CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("varSelRF")

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varSelRF documentation built on July 10, 2017, 5:03 p.m.