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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).
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 |
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