baguette: Efficient Model Functions for Bagging

Tree- and rule-based models can be bagged (<doi:10.1007/BF00058655>) using this package and their predictions equations are stored in an efficient format to reduce the model objects size and speed.

Version: 1.0.2
Depends: parsnip (≥ 1.0.0), R (≥ 3.6)
Imports: butcher, C50, dials, dplyr, furrr, generics, hardhat (≥ 1.1.0), magrittr, purrr, rlang, rpart, rsample, tibble, tidyr, utils, withr
Suggests: AmesHousing, covr, earth, modeldata, nnet, recipes, rmarkdown, spelling, testthat (≥ 3.0.0), yardstick
Published: 2024-02-13
DOI: 10.32614/CRAN.package.baguette
Author: Max Kuhn ORCID iD [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: baguette results


Reference manual: baguette.pdf


Package source: baguette_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): baguette_1.0.2.tgz, r-oldrel (arm64): baguette_1.0.2.tgz, r-release (x86_64): baguette_1.0.2.tgz, r-oldrel (x86_64): baguette_1.0.2.tgz
Old sources: baguette archive

Reverse dependencies:

Reverse suggests: tidyAML


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