ada: The R Package Ada for Stochastic Boosting
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 |
Downloads:
Reverse dependencies:
| Reverse imports: |
aCRM, EZtune, hybridEnsemble, nproc, predictoR, RecordLinkage, traineR |
| Reverse suggests: |
ChemometricsWithR, deepboost, fscaret, MLInterfaces, mlr, pmml, rattle |
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