stacking: Building Predictive Models with Stacking

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

Documentation:

Reference manual: stacking.pdf

Downloads:

Package source: stacking_0.1.2.tar.gz
Windows binaries: r-prerel: stacking_0.1.2.zip, r-release: stacking_0.1.2.zip, r-oldrel: stacking_0.1.2.zip
macOS binaries: r-prerel (arm64): stacking_0.1.2.tgz, r-release (arm64): stacking_0.1.2.tgz, r-oldrel (arm64): stacking_0.1.2.tgz, r-prerel (x86_64): stacking_0.1.2.tgz, r-release (x86_64): stacking_0.1.2.tgz
Old sources: stacking archive

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