stacks: Tidy Model Stacking (original) (raw)

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:	1.1.1
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:	2025-05-27
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
URL:	https://stacks.tidymodels.org/,https://github.com/tidymodels/stacks
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	stacks results

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