Last data update: 2014.03.03

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varSelRF : Variable Selection using Random Forests

Package: varSelRF
Version: 0.7-5
Date: 2014-12-14
Title: Variable Selection using Random Forests
Author: Ramon Diaz-Uriarte <rdiaz02@gmail.com>
Maintainer: Ramon Diaz-Uriarte <rdiaz02@gmail.com>
Depends: R (>= 2.0.0), randomForest, parallel
Description: 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).
LazyLoad: Yes
License: GPL (>= 2)
URL: http://ligarto.org/rdiaz/Software/Software.html
http://ligarto.org/rdiaz/Papers/rfVS/randomForestVarSel.html,
https://github.com/rdiaz02/varSelRF
Repository: CRAN
Date/Publication: 2014-12-14 12:13:58
Packaged: 2014-12-14 10:08:02.436 UTC; ramon
NeedsCompilation: no

● Data Source: CranContrib
● Cran Task View: ChemPhys, HighPerformanceComputing, MachineLearning
● 0 images, 9 functions, 0 datasets
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