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Building predictive models with stacking which is a type of ensemble learning. Learners can be specified from those implemented in 'caret'. For more information of the package, see Nukui and Onogi (2023) <doi:10.1101/2023.06.06.543970>.
| Version: | 0.1.2 |
| Depends: | caret, parallel |
| Published: | 2023-09-01 |
| Author: | Taichi Nukui [aut, cph], Akio Onogi [aut, cre, cph] |
| Maintainer: | Akio Onogi <onogiakio at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | stacking results |
| Reference manual: | stacking.pdf |
| Package source: | stacking_0.1.2.tar.gz |
| Windows binaries: | r-devel: stacking_0.1.2.zip, r-release: stacking_0.1.2.zip, r-oldrel: stacking_0.1.2.zip |
| macOS binaries: | r-release (arm64): stacking_0.1.2.tgz, r-oldrel (arm64): stacking_0.1.2.tgz, r-release (x86_64): stacking_0.1.2.tgz, r-oldrel (x86_64): stacking_0.1.2.tgz |
| Old sources: | stacking archive |
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