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).
- http://ligarto.org/rdiaz/Software/Software.html
- http://ligarto.org/rdiaz/Papers/rfVS/randomForestVarSel.html
- GitHub
- varSelRF results
- varSelRF.pdf
- Version0.7-8
- R version≥ 2.0.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- varSelRF citation info
- Last release07/10/2017
Documentation
Team
Ramon Diaz-Uriarte
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- Depends3 packages
- Reverse Imports1 package
- Reverse Suggests1 package