R Observatory: Metrics for bonsai version 0.4.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bonsai

0.4.1

Model Wrappers for Tree-Based Models

1packages dependsuggested by 5

18.3Kdownloads / year

60.3%test coverage

13/13flavors OK

Overview

About

Maintained by Emil HvitfeldtCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: Posit Software, PBC

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).

Changes in 0.4.1

Bug Fixes

Added multi_predict() method for catboost engine, enabling efficient tuning of the trees parameter (#115).
catboost tuning parameters were updates: (#119)
Fixed a bug in mtry; it used the parsnip name mtry_prop.
Enabled model arguments for min_n, sample_size, and stop_iter. min_n is only enabled for GPU computations.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("bonsai", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("tidymodels/bonsai")

Development version from tidymodels/bonsai. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bonsai

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-bonsai

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-bonsai

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.8 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-10-17
WARNING12 OK, 1 WARNING2026-10-01
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-04

Show 4 earlier changesHide 4 earlier changes

WARNING12 OK, 1 WARNING2026-07-03
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.4.1

READMEYes · 248 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.4.1Citation fileNoWebsiteYes · pkgdown

Help pages: 6 (5 internal)includes a package overview page
Examples that run: no examples
Exported functions with examples: 0%
Documented parameters: 50%
Return-value docs: 50%
Help pages citing references: 0%

Vignettes (1)

Introduction to bonsai HTML

How these are measured

Downloads

18.3K

CRAN downloads in the past year

Rank #3,186 · ~50/day · ~1.5K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.1K30 days

3.7K90 days

18.3K1 year

Compare downloads with other packages →

Also on166 r2u26 autocran1.4K conda_forge

How downloads are counted

Repository

tidymodels/bonsai ↗Organization: tidymodels

57Stars

10Forks

11Open issues

2Open PRs

8Releases

217Commits

8Commit identities

217 commits · Last activity 2026-05-21 · 0% stars, 30d · Default branch at 0.4.1.9000, ahead of CRAN 0.4.1 (checked 2026-10-11)

Responsiveness

How these are sampled

PRs merged (all time): 95%
Median days to close, 50 most recently updated closed issues: 7
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2025-05-13 · 522026-09-10 · 57

How these are measured

PracticesBeta

16 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/tidymodels/bonsai on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (4)

Code of conductContributing guideIssue templatesSupport guide

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-05-21 · The repository has a site deploy workflow

pkgdown site last built 2026-05-21

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 2 practices

CRAN release process (2)

cran-comments.mdrevdep/

Lint, format, editor (3)

AirVS CodeRStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

An outside contributor's pull request to this repository was written with an AI coding tool.

From outside contributors

Claude Code
Pull requests: 1 from outside contributors, first on 2026-04-18, 1 from forks

How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

18 external dependencies (excludes base and recommended)

Installing bonsai adds 37 packages (17 with compiled code, 32 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, isoband 1.5 MB.

Depends (2)

R >= 4.1parsnip

Imports (9)

cli dials dplyr purrr rlangstatstibbleutilswithr

LinkingTo (0)

none

Suggests (11)

aorsf covr knitr lightgbmMatrixmodeldata partykit rmarkdown rsample testthat tune

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Suggested by 5

Depends, Imports or LinkingTo, most downloaded first

sae.projection

Suggests, most downloaded first

tidypredict bundle orbital fastml tidyAML

How these are counted

Code & Tests

People & History

People (7)

Emil Hvitfeldt

Author, Maintainer since 0.4.0 (2025) · added in 0.4.0

Author

Author

Author

Author

Author

Copyright holder, Funder · added in 0.3.0

Previously maintained by Simon Couch (0.1.0 to 0.3.2).

Listed in earlier versions (1)

RStudio

no longer listed · 0.1.0 to 0.2.1

Releases (8)

Pick two releases to compare their code metrics.

0.4.1Latest
record
2026-05-21 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.4.0
record
2025-06-25 · diff ↗ ·
added 5 exports
predict_catboost_classification_class, predict_catboost_classification_prob, predict_catboost_classification_raw, predict_catboost_regression_numeric, train_catboost
R
R 4.5.0 released · 2025-04-11
0.3.2
record
2025-02-12 · diff ↗
0.3.1
record
2024-07-23 · diff ↗
0.3.0
record
2024-06-24 · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.2.1
record
2022-11-29 · diff ↗
0.2.0
record
2022-08-31 · diff ↗
0.1.0
record
2022-06-23
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-06-23
Total releases: 8 / 4 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1
Download size: 65 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bonsai")

Format

Hvitfeldt, E., Posit Software, PBC, Couch, S., Damiani, A., Falbel, D., Hogervorst, R. M., & Kuhn, M. (2026). bonsai: Model Wrappers for Tree-Based Models (Version 0.4.1) [Computer software]. https://doi.org/10.32614/CRAN.package.bonsai

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bonsai version 0.4.1 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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