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Performs discrete, real, and gentle boost under both exponential and logistic loss on a given data set. The package ada provides a straightforward, well-documented, and broad boosting routine for classification, ideally suited for small to moderate-sized data sets.
| Version: | 2.0-5 |
| Depends: | R (≥ 2.10), rpart |
| Published: | 2016-05-13 |
| Author: | Mark Culp, Kjell Johnson, and George Michailidis |
| Maintainer: | Mark Culp <mvculp at mail.wvu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| CRAN checks: | ada results |
| Reference manual: | ada.pdf |
| Package source: | ada_2.0-5.tar.gz |
| Windows binaries: | r-devel: ada_2.0-5.zip, r-release: ada_2.0-5.zip, r-oldrel: ada_2.0-5.zip |
| macOS binaries: | r-release (arm64): ada_2.0-5.tgz, r-oldrel (arm64): ada_2.0-5.tgz, r-release (x86_64): ada_2.0-5.tgz, r-oldrel (x86_64): ada_2.0-5.tgz |
| Old sources: | ada archive |
| Reverse imports: | EZtune, nproc, RecordLinkage, signeR, traineR |
| Reverse suggests: | flowml, fscaret, MLInterfaces, mlr, pmml, rattle |
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These binaries (installable software) and packages are in development.
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