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>. Packages caret, parallel, snow, and packages for base and meta learners should be installed.
Version: | 0.1.3 |
Depends: | caret, parallel |
Published: | 2024-09-11 |
DOI: | 10.32614/CRAN.package.stacking |
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_0.1.3.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_0.1.3.tgz, r-oldrel (arm64): stacking_0.1.3.tgz, r-release (x86_64): stacking_0.1.3.tgz, r-oldrel (x86_64): stacking_0.1.3.tgz |
Old sources: | stacking archive |
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