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.


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Reference manual

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install.packages("stacks")

0.2.1 by Simon Couch, 3 months ago


https://stacks.tidymodels.org/, https://github.com/tidymodels/stacks


Report a bug at https://github.com/tidymodels/stacks/issues


Browse source code at https://github.com/cran/stacks


Authors: Simon Couch [aut, cre] , Max Kuhn [aut] , RStudio [cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports tune, dplyr, rlang, tibble, purrr, parsnip, workflows, recipes, rsample, workflowsets, butcher, yardstick, tidyr, dials, glue, ggplot2, glmnet, cli, stats, foreach, generics

Suggests testthat, covr, kernlab, knitr, modeldata, rmarkdown, ranger, nnet, kknn


See at CRAN