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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 posit.co>
BugReports: https://github.com/tidymodels/baguette/issues
License: MIT + file LICENSE
URL: https://baguette.tidymodels.org, https://github.com/tidymodels/baguette
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: baguette results

Documentation:

Reference manual: baguette.pdf

Downloads:

Package source: baguette_1.0.2.tar.gz
Windows binaries: r-devel: baguette_1.0.2.zip, r-release: baguette_1.0.2.zip, r-oldrel: baguette_1.0.2.zip
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: qvirus, tidyAML, viralmodels

Linking:

Please use the canonical form https://CRAN.R-project.org/package=baguette to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.