The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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).
| Version: | 0.7-8 |
| Depends: | R (≥ 2.0.0), randomForest, parallel |
| Published: | 2017-07-10 |
| Author: | Ramon Diaz-Uriarte |
| Maintainer: | Ramon Diaz-Uriarte <rdiaz02 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://ligarto.org/rdiaz/Software/Software.html, http://ligarto.org/rdiaz/Papers/rfVS/randomForestVarSel.html, https://github.com/rdiaz02/varSelRF |
| NeedsCompilation: | no |
| Citation: | varSelRF citation info |
| Materials: | README |
| In views: | ChemPhys, HighPerformanceComputing, MachineLearning |
| CRAN checks: | varSelRF results |
| Reference manual: | varSelRF.pdf |
| Package source: | varSelRF_0.7-8.tar.gz |
| Windows binaries: | r-devel: varSelRF_0.7-8.zip, r-release: varSelRF_0.7-8.zip, r-oldrel: varSelRF_0.7-8.zip |
| macOS binaries: | r-release (arm64): varSelRF_0.7-8.tgz, r-oldrel (arm64): varSelRF_0.7-8.tgz, r-release (x86_64): varSelRF_0.7-8.tgz, r-oldrel (x86_64): varSelRF_0.7-8.tgz |
| Old sources: | varSelRF archive |
| Reverse imports: | a4Classif |
| Reverse suggests: | varrank |
Please use the canonical form https://CRAN.R-project.org/package=varSelRF to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.