Tidy Model Stacking R package stacks version 1.1.1 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. Software 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) Simon Couch <simon.couch@posit.co> Comprehensive R Archive Network (CRAN) Simon Couch [aut, cre], Max Kuhn [aut], Posit Software, PBC [cph, fnd] (ROR: <https://ror.org/03wc8by49>) MIT + file LICENSE (https://CRAN.R-project.org/package=stacks/LICENSE) 2025-05-27 application/tgz https://CRAN.R-project.org/package=stacks doi:10.32614/CRAN.package.stacks