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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.), conditional inference trees and conditional random forests with 'partykit' (Hothorn and Zeileis, 2015. and Hothorn et al, 2006. <doi:10.1198/106186006X133933>), and accelerated oblique random forests with 'aorsf' (Jaeger et al, 2022 <doi:10.5281/zenodo.7116854>).

Version:0.4.0
Depends:parsnip (≥ 1.0.1), R (≥ 4.1)
Imports:cli,dials,dplyr,purrr,rlang (≥ 1.1.0), stats,tibble, utils,withr
Suggests:aorsf (≥ 0.1.5),covr,knitr,lightgbm,Matrix,modeldata,partykit,rmarkdown,rsample,testthat (≥ 3.0.0),tune
Published:2025-06-25
DOI:10.32614/CRAN.package.bonsai
Author:Daniel Falbel [aut], Athos Damiani [aut], Roel M. HogervorstORCID iD [aut], Max KuhnORCID iD [aut], Simon CouchORCID iD [aut], Emil HvitfeldtORCID iD [aut, cre], Posit Software, PBCROR ID [cph, fnd]
Maintainer:Emil Hvitfeldt <emil.hvitfeldt at posit.co>
BugReports:https://github.com/tidymodels/bonsai/issues
License:MIT + fileLICENSE
URL:https://bonsai.tidymodels.org/,https://github.com/tidymodels/bonsai
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:bonsai results

Documentation:

Reference manual:bonsai.html ,bonsai.pdf
Vignettes:Introduction to bonsai (source,R code)

Downloads:

Package source: bonsai_0.4.0.tar.gz
Windows binaries: r-devel:bonsai_0.4.0.zip, r-release:bonsai_0.4.0.zip, r-oldrel:bonsai_0.4.0.zip
macOS binaries: r-release (arm64):bonsai_0.4.0.tgz, r-oldrel (arm64):bonsai_0.4.0.tgz, r-release (x86_64):bonsai_0.4.0.tgz, r-oldrel (x86_64):bonsai_0.4.0.tgz
Old sources: bonsai archive

Reverse dependencies:

Reverse imports:fastml
Reverse suggests:bundle,orbital,tidyAML

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bonsaito link to this page.


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