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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: 0.3.1
Depends: R (≥ 4.0), parsnip (≥ 1.0.1)
Imports: cli, dials, dplyr, glue, purrr, rlang, stats, tibble, utils
Suggests: covr, knitr, lightgbm, aorsf (≥ 0.1.5), modeldata, partykit, rmarkdown, rsample, testthat (≥ 3.0.0), tune
Published: 2024-07-23
DOI: 10.32614/CRAN.package.bonsai
Author: Daniel Falbel [aut], Athos Damiani [aut], Roel M. Hogervorst ORCID iD [aut], Max Kuhn ORCID iD [aut], Simon Couch ORCID iD [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch at posit.co>
BugReports: https://github.com/tidymodels/bonsai/issues
License: MIT + file LICENSE
URL: https://bonsai.tidymodels.org/, https://github.com/tidymodels/bonsai
NeedsCompilation: no
Materials: README NEWS
CRAN checks: bonsai results

Documentation:

Reference manual: bonsai.pdf
Vignettes: Introduction to bonsai

Downloads:

Package source: bonsai_0.3.1.tar.gz
Windows binaries: r-devel: bonsai_0.3.1.zip, r-release: bonsai_0.3.1.zip, r-oldrel: bonsai_0.3.1.zip
macOS binaries: r-release (arm64): bonsai_0.3.1.tgz, r-oldrel (arm64): bonsai_0.3.1.tgz, r-release (x86_64): bonsai_0.3.1.tgz, r-oldrel (x86_64): bonsai_0.3.1.tgz
Old sources: bonsai archive

Reverse dependencies:

Reverse suggests: bundle, tidyAML

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bonsai 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.