Contains functions for estimation and model selection of kernel deep stacking networks. The model selection includes direct optimization or model based alternatives with arbitrary loss functions.
| Version: | 1.0.1 |
| Imports: | methods, Rcpp, glmnet, mvtnorm, lhs, DiceKriging, parallel, globalOptTests |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | caret, pROC, mgcv |
| Published: | 2016-02-01 |
| Author: | Thomas Welchowski and Matthias Schmid |
| Maintainer: | Thomas Welchowski <welchow at imbie.meb.uni-bonn.de> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | kernDeepStackNet results |
| Reference manual: | kernDeepStackNet.pdf |
| Package source: | kernDeepStackNet_1.0.1.tar.gz |
| Windows binaries: | r-devel: kernDeepStackNet_1.0.1.zip, r-release: kernDeepStackNet_1.0.1.zip, r-oldrel: kernDeepStackNet_1.0.1.zip |
| OS X Mavericks binaries: | r-release: kernDeepStackNet_1.0.1.tgz, r-oldrel: kernDeepStackNet_1.0.1.tgz |
| Old sources: | kernDeepStackNet archive |
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