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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
Browse package contents
Package details |
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| Author | Ramon Diaz-Uriarte <rdiaz02@gmail.com> |
| Maintainer | Ramon Diaz-Uriarte <rdiaz02@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.7-8 |
| URL | http://ligarto.org/rdiaz/Software/Software.html http://ligarto.org/rdiaz/Papers/rfVS/randomForestVarSel.html https://github.com/rdiaz02/varSelRF |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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