Skip to content

RoBMA

4.0.0

Robust Bayesian Meta-Analyses

2packages depend
10.5Kdownloads / year
76.9%test coverage
10/13checks pass

Overview

About
Maintained by František BartošFirst published 2020-08-0628 releasesCRAN page ↗GitHub ↗

A framework for Bayesian meta-analysis, including model estimation, prior specification, model comparison, prediction, summaries, visualizations, and diagnostics. The package fits single and model-averaged meta-analytic, meta-regression, multilevel, publication bias adjusted, and generalized linear mixed models The model-averaged meta-analytic models combine competing models based on their predictive performance, weight inference by posterior model probabilities, and test model components using Bayes factors (e.g., effect vs. no effect; Bartoš et al., 2022, doi:10.1002/jrsm.1594; Maier, Bartoš & Wagenmakers, 2022, doi:10.1037/met0000405; Bartoš et al., 2025, doi:10.1037/met0000737). Users can specify flexible prior distributions for effect sizes, heterogeneity, publication bias (including selection models and PET-PEESE), and moderators.

Install

Health

CRAN checks
1ERROR2NOTE10OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
  • ERROR r-release-macos-arm64
Slowest check: 6.9 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.65
76.9%
Coverage · measured lines
100%
Documentation · exports
15
Dependencies · direct
Check history
  • ERROR2026-05-07
    10 OK · 0 NOTE · 0 WARNING · 3 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,159 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
9%
Documented parameters
96%
Return-value docs
96%
References docs
22%

Downloads

10.5K
CRAN downloads in the past year
Rank #3,698 · ~29/day · ~873/mo
Daily download trend is not available in this view yet.
92130 days
2.5K90 days
10.5K1 year
Compare downloads with other packages →
Also on488 r2u5K conda_forge65 c2d4u

Repository

Repository
11Stars
5Forks
0Open issues
1Open PRs
19Releases
117Commits
3Contributors
publication-biasmeta-analysismodel-averaging
117 commits · Last activity 2026-08-18 · 0% stars, 30d

Stars over time

2024-11-21 · 92026-07-07 · 11

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/fbartos/robma on 2026-08-16.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
Coverage (1)
Codecov
Show all practices
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: copilot on 2025-06-09

copilotagents-dirclaudegemini

Most recent: gemini on 2026-05-07

Evidence
  • copilot: on 2025-06-09 · evidence A, PR · sole bot-author seen
  • agents-dir: on 2026-05-07 · evidence D
  • agents-md: on 2026-05-07 · evidence D
  • claude: on 2026-05-07 · evidence D
  • gemini: on 2026-05-07 · evidence D
How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies
25 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
2direct
0indirect

Code & Tests

Datasets

People & History

People (6)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Contributors (1)
Contributor
Copyright holders (2)
Copyright holder · added in 2.0.0
Copyright holder · added in 2.0.0
Other (1)
Thesis advisor
Package Timeline

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

  • 4.0.0Latest
    2026-05-07 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 3.6.1
    2025-12-18 · diff ↗
  • 3.6.0
    2025-09-10 · diff ↗
  • 3.5.1
    2025-07-28 · diff ↗
  • 3.5.0
    2025-06-11 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 3.4.0
    2025-02-04 · diff ↗
  • 3.3.0
    2025-01-15 · diff ↗
  • 3.2.0
    2024-12-12 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 3.1.0
    2023-07-18 · diff ↗
  • unarchivedReturned to CRAN
    2023-07-18
  • archivedRemoved from CRAN
    2023-07-11
    issues were not corrected in time
  • 3.0.1
    2023-06-02 · diff ↗
  • 3.0.0
    2023-06-01 · diff ↗
Show 23 earlier events
  • R
    R 4.3.0 released · 2023-04-21
  • 2.3.2
    2023-03-13 · diff ↗
  • 2.3.1
    2022-07-17 · diff ↗
  • 2.3.0
    2022-07-12 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 2.2.2
    2022-04-20 · diff ↗
  • unarchivedReturned to CRAN
    2022-04-20
  • archivedRemoved from CRAN
    2022-04-17
    check issues were not corrected in time
  • 2.2.1
    2022-04-06 · diff ↗
  • 2.1.2
    2022-01-12 · diff ↗
  • 2.1.1
    2021-11-03 · diff ↗
  • 2.1.0
    2021-10-13 · diff ↗
  • 2.0.0
    2021-07-08 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.2.1
    2021-02-16 · diff ↗
  • 1.2.0
    2021-01-21 · diff ↗
  • 1.1.2
    2020-12-10 · diff ↗
  • 1.1.1
    2020-11-10 · diff ↗
  • 1.1.0
    2020-10-30 · diff ↗
  • 1.0.5
    2020-10-13 · diff ↗
  • 1.0.4
    2020-08-07 · diff ↗
  • 1.0.3
    2020-08-06
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-08-06
Total releases
28 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 4.0.0
Bundled data
59 KB / 12 files
Download size
4.3 MB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RoBMA")
Bartoš, F., Denwood, M., Goosen, J., Maier, M., Plummer, M., & Wagenmakers, E. (2026). RoBMA: Robust Bayesian Meta-Analyses (Version 4.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.RoBMA

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RoBMA version 4.0.0 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy