CRAN/E | varSelRF

varSelRF

Variable Selection using Random Forests

Installation

About

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).

Citation varSelRF citation info
ligarto.org/rdiaz/Software/Software.html
ligarto.org/rdiaz/Papers/rfVS/randomForestVarSel.html
github.com/rdiaz02/varSelRF

Key Metrics

Version 0.7-8
R ≥ 2.0.0
Published 2017-07-10 2489 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks varSelRF results

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Maintainer

Maintainer

Ramon Diaz-Uriarte

rdiaz02@gmail.com

Authors

Ramon Diaz-Uriarte

Material

README
Reference manual
Package source

In Views

ChemPhys
HighPerformanceComputing
MachineLearning

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

varSelRF archive

Depends

R ≥ 2.0.0
randomForest
parallel

Reverse Imports

a4Classif