baguette: Efficient Model Functions for Bagging

Tree- and rule-based models can be bagged using this package and their predictions equations are stored in an efficient format to reduce the model objects size and speed.

Version: 0.0.1
Depends: parsnip (≥ 0.1.0)
Imports: hardhat, butcher, rpart, C50, withr, rsample, dplyr, purrr, furrr, tibble, tidyr, rlang, earth, magrittr, utils, generics, dials
Suggests: testthat, AmesHousing, recipes, modeldata, covr, yardstick
Published: 2020-04-14
Author: Max Kuhn ORCID iD [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: baguette results


Reference manual: baguette.pdf
Package source: baguette_0.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: baguette_0.0.1.tgz, r-oldrel: baguette_0.0.1.tgz


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