Approximate false positive rate control in selection frequency for random forest using the methods described by Ender Konukoglu and Melanie Ganz (2015) <arXiv:1410.2838>. Methods for calculating the selection frequency threshold at false positive rates and selection frequency false positive rate feature selection.
| Version: | 0.1.1 |
| Imports: | Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | testthat, randomForest, ranger |
| Published: | 2018-02-19 |
| Author: | Tom Wilson [aut, cre], Jasen Finch [aut] |
| Maintainer: | Tom Wilson <tpw2 at aber.ac.uk> |
| BugReports: | https://github.com/aberHRML/forestControl/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/aberHRML/forestControl |
| NeedsCompilation: | yes |
| Citation: | forestControl citation info |
| Materials: | NEWS |
| CRAN checks: | forestControl results |
| Reference manual: | forestControl.pdf |
| Package source: | forestControl_0.1.1.tar.gz |
| Windows binaries: | r-devel: forestControl_0.1.1.zip, r-release: forestControl_0.1.1.zip, r-oldrel: forestControl_0.1.1.zip |
| OS X El Capitan binaries: | r-release: forestControl_0.1.1.tgz |
| OS X Mavericks binaries: | r-oldrel: not available |
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