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: | 1.1.0 |
| Depends: | R (≥ 4.1) |
| Imports: | butcher (≥ 0.1.3), cli, dplyr (≥ 1.1.0), foreach, furrr, future, generics, ggplot2, glmnet, glue, parsnip (≥ 1.2.0), purrr (≥ 1.0.0), recipes (≥ 1.0.10), rlang (≥ 1.1.0), 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, modeldata, nnet, ranger, rmarkdown, testthat (≥ 3.0.0), workflowsets (≥ 0.1.0), yardstick (≥ 1.1.0) |
| Published: | 2025-05-02 |
| 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 (source, R code) Classification Models With stacks (source, R code) |
Downloads:
| Package source: | stacks_1.1.0.tar.gz |
| Windows binaries: | r-devel: stacks_1.0.5.zip, r-release: stacks_1.1.0.zip, r-oldrel: stacks_1.0.5.zip |
| macOS binaries: | r-release (arm64): stacks_1.1.0.tgz, r-oldrel (arm64): stacks_1.1.0.tgz, r-release (x86_64): stacks_1.1.0.tgz, r-oldrel (x86_64): stacks_1.1.0.tgz |
| Old sources: | stacks archive |
Reverse dependencies:
| Reverse suggests: | bundle, DALEXtra, tidysdm, vetiver |
Linking:
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