R Observatory: Metrics for bartMachine version 1.4.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bartMachine

1.4.2

Bayesian Additive Regression Trees

8packages depend

59.8Kdownloads / year

0.6%test coverage

13/13checks pass

Overview

About

Maintained by Adam KapelnerFirst published 2013-12-0727 releasesCRAN page ↗GitHub ↗

An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.

Install

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

install.packages("bartMachine", 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("kapelner/bartMachine")

Development version from kapelner/bartMachine. 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-bartmachine

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-bartMachine

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-bartMachine

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 3.0 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.24

0.6%

Coverage · measured lines

100%

Documentation · exports

10

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-06
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-04
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 3%
Documented parameters: 98%
Return-value docs: 100%
References docs: 26%

Downloads

59.8K

CRAN downloads in the past year

Rank #1,998 · ~164/day · ~5K/mo

Releases R versions

Daily download trend is not available in this view yet.

3.4K30 days

10.7K90 days

59.8K1 year

Compare downloads with other packages →

Also on334 r2u10 autocran63 c2d4u

Repository

GitHub ↗ kapelner/bartmachine

65Stars

26Forks

0Open issues

0Open PRs

0Releases

240Commits

8Contributors

License MIT · 240 commits · Last activity 2026-05-03 · 0% stars, 30d

Stars over time

2025-03-25 · 622026-07-07 · 65

Repository practices

Upstream repositoryBeta

Checks run against github.com/kapelner/bartmachine on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.14.0

Imports (10)

bartMachineJARs rJava randomForest missForeststatsggplot2gridcheckmate matrixStatsgrDevices

LinkingTo (0)

none

Suggests (2)

testthat withr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

8direct

0indirect

bartMan bartXViz BayesTreePrior MachineShop SuperLearner condvis2 evalITR vivid

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Adam Kapelner

Author, Maintainer

Authors (2)

Adam Kapelner

Author, Maintainer

Justin Bleich

Author

Listed in earlier versions (2)

see COPYRIGHTS file for the authors of the java libraries

no longer listed · 1.0.4 to 1.2.0

Justin Bleich (R package)

no longer listed · 1.0.4 to 1.3.4.1

Package Timeline

27 releases. Pick two to compare their code metrics. R releases are shown for context.

1.4.2Latest
2026-05-04 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.4.1.1
2026-01-20 · diff ↗
1.4.1
2026-01-19 · diff ↗
1.4
2026-01-17 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.3.4.1
2023-07-07 · diff ↗
1.3.4
2023-06-26 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.3.3.1
2023-02-27 · diff ↗
1.3.3
2023-01-11 · diff ↗
1.3.2
2022-10-26 · diff ↗
1.3
2022-08-26 · diff ↗
1.2.7
2022-08-23 · diff ↗
R
R 4.2.0 released · 2022-04-22

Show 25 earlier events

R
R 4.1.0 released · 2021-05-18
1.2.6
2020-12-17 · diff ↗
1.2.5.1
2020-08-13 · diff ↗
1.2.5
2020-07-21 · diff ↗
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
1.2.4.2
2018-05-04 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.2.4.1
2018-04-06 · diff ↗
1.2.4
2018-03-03 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.2.3
2016-05-12 · diff ↗
R
R 3.3.0 released · 2016-05-03
1.2.2
2016-03-25 · diff ↗
1.2.1
2016-02-27 · diff ↗
R
R 3.2.0 released · 2015-04-16
1.2.0
2015-03-10 · diff ↗
1.1.1
2014-12-02 · diff ↗
1.0.4
2014-09-05 · diff ↗
R
R 3.1.0 released · 2014-04-10
1.0.2
2014-02-05 · diff ↗
3.0.3
2014-02-04 · diff ↗
1.0.1
2013-12-09 · diff ↗
1.0
2013-12-07
R
R 3.0.0 released · 2013-04-03

Package metadata

First published: 2013-12-07
Total releases: 27 / 13 yrs
License: GPL-3 OSI
Minimum R: ≥ 2.14.0
Bundled data: 387 KB / 2 files
Download size: 1.4 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Bayesian Inference Machine Learning & Statistical Learning

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bartMachine")

Format

Kapelner, A., & Bleich, J. (2026). bartMachine: Bayesian Additive Regression Trees (Version 1.4.2) [Computer software]. https://doi.org/10.32614/CRAN.package.bartMachine

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 bartMachine version 1.4.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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