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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: | 3.4.5 |
| Depends: | R (≥ 2.10), ClassDiscovery, ClassComparison, oompaBase |
| Imports: | methods, stats, class, rpart, TailRank, e1071, randomForest, nnet, neuralnet |
| Suggests: | Biobase |
| Published: | 2019-05-06 |
| 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_3.4.5.tar.gz |
| Windows binaries: | r-devel: Modeler_3.4.5.zip, r-release: Modeler_3.4.5.zip, r-oldrel: Modeler_3.4.5.zip |
| macOS binaries: | r-release (arm64): Modeler_3.4.5.tgz, r-oldrel (arm64): Modeler_3.4.5.tgz, r-release (x86_64): Modeler_3.4.5.tgz, r-oldrel (x86_64): Modeler_3.4.5.tgz |
| Old sources: | Modeler archive |
| Reverse depends: | CrossValidate |
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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.
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