bonsai: Model Wrappers for Tree-Based Models

Bindings for additional tree-based model engines for use with the 'parsnip' package. Models include gradient boosted decision trees with 'LightGBM' (Ke et al, 2017.) and conditional inference trees and conditional random forests with 'partykit' (Hothorn and Zeileis, 2015. and Hothorn et al, 2006. <doi:10.1198/106186006X133933>).

Version: 0.2.1
Depends: parsnip (≥ 1.0.1)
Imports: cli, dials, dplyr, glue, purrr, rlang, stats, tibble, utils
Suggests: covr, knitr, lightgbm, modeldata, partykit, rmarkdown, rsample, testthat (≥ 3.0.0), tune
Published: 2022-11-29
Author: Daniel Falbel [aut], Athos Damiani [aut], Roel M. Hogervorst ORCID iD [aut], Max Kuhn ORCID iD [aut], Simon Couch ORCID iD [aut, cre], RStudio [cph, fnd]
Maintainer: Simon Couch <simonpatrickcouch at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: bonsai results


Reference manual: bonsai.pdf
Vignettes: Introduction to bonsai


Package source: bonsai_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bonsai_0.2.1.tgz, r-oldrel (arm64): bonsai_0.2.1.tgz, r-release (x86_64): bonsai_0.2.1.tgz, r-oldrel (x86_64): bonsai_0.2.1.tgz
Old sources: bonsai archive

Reverse dependencies:

Reverse suggests: bundle


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