R Observatory: Metrics for EBcoBART version 1.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

EBcoBART

1.1.2

Co-Data Learning for Bayesian Additive Regression Trees

0packages depend

6.4Kdownloads / year

–test coverage

7/13checks pass

Overview

About

Maintained by Jeroen M. GoedhartFirst published 2024-09-025 releasesCRAN page ↗GitHub ↗

Estimate prior variable weights for Bayesian Additive Regression Trees (BART). These weights correspond to the probabilities of the variables being selected in the splitting rules of the sum-of-trees. Weights are estimated using empirical Bayes and external information on the explanatory variables (co-data). BART models are fitted using the 'dbarts' 'R' package. See Goedhart and others (2023) doi:10.1002/sim.70004 for details.

Install

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

install.packages("EBcoBART", 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("JeroenGoedhart/EBcoBART")

Development version from JeroenGoedhart/EBcoBART. 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-ebcobart

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-EBcoBART

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-EBcoBART

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

Health

CRAN checks

6ERROR7OK

Failing flavors

ERROR r-devel-linux-x86_64-debian-clang
ERROR r-devel-linux-x86_64-debian-gcc
ERROR r-devel-linux-x86_64-fedora-clang
ERROR r-devel-linux-x86_64-fedora-gcc
ERROR r-devel-windows-x86_64
ERROR r-release-macos-x86_64

Slowest check: 54 s · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

6

Dependencies · direct

Check history

ERROR2026-04-25
11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 486 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 96%
Return-value docs: 100%
References docs: 75%

Downloads

6.4K

CRAN downloads in the past year

Rank #7,329 · ~17/day · ~530/mo

Releases R versions

Daily download trend is not available in this view yet.

17930 days

1.2K90 days

6.4K1 year

Compare downloads with other packages →

Also on109 r2u18 autocran

Repository

GitHub ↗ jeroengoedhart/ebcobart

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2025-08-05

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/jeroengoedhart/ebcobart on 2026-08-16.

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

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

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.10

Imports (6)

dbarts loo posterior univariateML extraDistrgraphics

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (5)

Maintainer (1)

Jeroen M. Goedhart

Author, Maintainer, Copyright holder

Authors (3)

Jeroen M. Goedhart

Author, Maintainer, Copyright holder

Thomas Klausch

Author

Mark A. van de Wiel

Author

Contributors (1)

Vincent Dorie

Contributor

Copyright holders (1)

Jeroen M. Goedhart

Author, Maintainer, Copyright holder

Funders (1)

Hanarth Fonds

Funder

Listed in earlier versions (2)

Mark A.

no longer listed · 1.0.1 to 1.1.2

Jeroen M.

no longer listed · 1.0.1 to 1.1.2

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.1.2Latest
2025-08-20 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
1.1.1
2025-01-14 · diff ↗
1.1.0
2024-09-26 · diff ↗
1.0.2
2024-09-03 · diff ↗
1.0.1
2024-09-02
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-09-02
Total releases: 5 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 2.10
Bundled data: 156 KB / 2 files
Download size: 174 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EBcoBART")

Format

Goedhart, J. M., Hanarth Fonds, Dorie, V., Klausch, T., & van de Wiel, M. A. (2025). EBcoBART: Co-Data Learning for Bayesian Additive Regression Trees (Version 1.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.EBcoBART

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 EBcoBART version 1.1.2 [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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