Defines classes and methods to learn models and use them to predict binary outcomes. These are generic tools, but we also include specific examples for many common classifiers.
| Version: | 3.4.2 |
| Depends: | R (≥ 2.10), ClassDiscovery, ClassComparison, oompaBase |
| Imports: | methods, stats, class, rpart, TailRank, e1071, randomForest, nnet, neuralnet |
| Suggests: | Biobase |
| Published: | 2017-07-13 |
| Author: | Kevin R. Coombes |
| Maintainer: | Kevin R. Coombes <krc at silicovore.com> |
| License: | Apache License (== 2.0) |
| URL: | http://oompa.r-forge.r-project.org/ |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | Modeler results |
| Reference manual: | Modeler.pdf |
| Vignettes: |
Modeler |
| Package source: | Modeler_3.4.2.tar.gz |
| Windows binaries: | r-devel: Modeler_3.4.2.zip, r-release: Modeler_3.4.2.zip, r-oldrel: Modeler_3.4.2.zip |
| OS X El Capitan binaries: | r-release: Modeler_3.4.2.tgz |
| OS X Mavericks binaries: | r-oldrel: Modeler_3.4.2.tgz |
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