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stacks: Tidy Model Stacking

Model stacking is an ensemble technique that involves training a model to combine the outputs of many diverse statistical models, and has been shown to improve predictive performance in a variety of settings. 'stacks' implements a grammar for 'tidymodels'-aligned model stacking.

Version: 1.0.5
Depends: R (≥ 3.6)
Imports: butcher (≥ 0.1.3), cli, doFuture, dplyr (≥ 1.1.0), foreach, future, generics, ggplot2, glmnet, glue, parsnip (≥ 1.2.0), purrr (≥ 1.0.0), recipes (≥ 1.0.10), rlang (≥ 1.1.3), rsample (≥ 1.2.0), stats, tibble (≥ 2.1.3), tidyr, tune (≥ 1.2.0), vctrs (≥ 0.6.1), workflows (≥ 1.1.4)
Suggests: covr, h2o, kernlab, kknn, knitr, mockr, modeldata, nnet, ranger, rmarkdown, testthat (≥ 3.0.0), workflowsets (≥ 0.1.0), yardstick (≥ 1.1.0)
Published: 2024-07-22
DOI: 10.32614/CRAN.package.stacks
Author: Simon Couch [aut, cre], Max Kuhn [aut], Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch at posit.co>
BugReports: https://github.com/tidymodels/stacks/issues
License: MIT + file LICENSE
URL: https://stacks.tidymodels.org/, https://github.com/tidymodels/stacks
NeedsCompilation: no
Materials: README NEWS
CRAN checks: stacks results

Documentation:

Reference manual: stacks.pdf
Vignettes: Getting Started With stacks
Classification Models With stacks

Downloads:

Package source: stacks_1.0.5.tar.gz
Windows binaries: r-devel: stacks_1.0.5.zip, r-release: stacks_1.0.5.zip, r-oldrel: stacks_1.0.5.zip
macOS binaries: r-release (arm64): stacks_1.0.5.tgz, r-oldrel (arm64): stacks_1.0.5.tgz, r-release (x86_64): stacks_1.0.5.tgz, r-oldrel (x86_64): stacks_1.0.5.tgz
Old sources: stacks archive

Reverse dependencies:

Reverse suggests: bundle, DALEXtra, tidysdm, vetiver

Linking:

Please use the canonical form https://CRAN.R-project.org/package=stacks to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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