R Observatory: Metrics for metaBMA version 0.6.9

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

metaBMA

0.6.9Package record

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

1packages dependsuggested by 5

83.9Kdownloads / year

62.0%test coverage

13/13flavors OK

Overview

About

Maintained by Daniel W. HeckCRAN page ↗GitHub ↗Website ↗

Computes the posterior model probabilities for standard meta-analysis models (null model vs. alternative model assuming either fixed- or random-effects, respectively). These posterior probabilities are used to estimate the overall mean effect size as the weighted average of the mean effect size estimates of the random- and fixed-effect model as proposed by Gronau, Van Erp, Heck, Cesario, Jonas, & Wagenmakers (2017, doi:10.1080/23743603.2017.1326760). The user can define a wide range of non-informative or informative priors for the mean effect size and the heterogeneity coefficient. Moreover, using pre-compiled Stan models, meta-analysis with continuous and discrete moderators with Jeffreys-Zellner-Siow (JZS) priors can be fitted and tested. This allows to compute Bayes factors and perform Bayesian model averaging across random- and fixed-effects meta-analysis with and without moderators. For a primer on Bayesian model-averaged meta-analysis, see Gronau, Heck, Berkhout, Haaf, & Wagenmakers (2021, doi:10.1177/25152459211031256).

Changes in 0.6.9

Updated syntax for Stan arrays (thanks to @andrjohns)
Dependency on newest version of rstan (>= 2.26.0)
Updated references for tutorials on meta-analysis with model averaging
Bug fixes for passing of arguments in plot_forest() (#23 and #24)

From NEWS in the release

Install

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

install.packages("metaBMA", 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("danheck/metaBMA")

Development version from danheck/metaBMA. 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-metabma

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-metaBMA

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-metaBMA

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: 33.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-29
ERROR12 OK, 1 ERROR2026-07-27
OK12 OK2026-04-25

Show 3 earlier changesHide 3 earlier changes

NOTE11 OK, 3 NOTE2026-04-22
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.6.9

README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 33% structured · mentions 0.6.9Citation fileYes · software entry onlyWebsiteYes · pkgdown

Help pages: 21includes a package overview page
Examples that run: 63%10 run in a plain check · 6 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 86%
Documented parameters: 93%
Return-value docs: 21%
Help pages citing references: 38%

Vignettes (1)

metaBMA: Meta-Analysis with Bayesian Model Averaging HTML

How these are measured

Downloads

83.9K

CRAN downloads in the past year

Rank #1,809 · ~230/day · ~7K/mo

Releases R versions

Daily download trend is not available in this view yet.

3.9K30 days

11.1K90 days

83.9K1 year

Compare downloads with other packages →

Also on564 r2u9 autocran3.3K conda_forge308 c2d4u

How downloads are counted

Repository

danheck/metabma ↗Account: danheck

29Stars

2Forks

1Open issues

0Open PRs

2Releases

248Commits

5Commit identities

meta-analysisrbayesian-inferencebayesstanmodel-averagingbayes-factorevidence-synthesis

248 commits · Last activity 2025-07-22 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 45
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-07-25 · 292026-07-07 · 29

How these are measured

PracticesBeta

9 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/danheck/metabma on 2026-10-11.

Continuous integration (3)

GitHub ActionsR CMD check workflowTravis CI (config file)

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

Docs source (2)

GitHub Pages site last deployed 2025-07-22 · The repository has a site deploy workflow

Coverage (1)

Coverage reporting

Lint, format, editor (3)

lintrLint workflowRStudio project

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

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Installing metaBMA adds 56 packages (25 with compiled code, 59 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (3)

R >= 4.0.0Rcppmethods

Imports (8)

bridgesampling coda LaplacesDemon logspline mvtnorm RcppParallel rstan rstantools (>= 2.3.0)

LinkingTo (6)

BH Rcpp RcppEigen RcppParallel rstan StanHeaders (>= 2.26.0)

Suggests (4)

testthat knitr rmarkdown spelling

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

3indirect

Imports 1

Suggested by 5

Depends, Imports or LinkingTo, most downloaded first

BFpack

Suggests, most downloaded first

insight parameters ggstatsplot statsExpressions RoBMA

How these are counted

Code & Tests

Datasets

People & History

People (4)

Daniel W. Heck

Author, Maintainer since 0.3.8 (2017)

Quentin F. Gronau

Contributor

Indrajeet Patil

Contributor · added in 0.6.7

Eric-Jan Wagenmakers

Contributor

Releases (9)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.6.9Latest
record
2023-09-13 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.6.7
record
2021-03-17 · diff ↗ ·
added 2 exports
meta_sensitivity, transform_es
0.6.6
record
2021-01-08 · diff ↗
0.6.5
record
2020-10-29 · diff ↗
0.6.3
record
2020-06-02 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.6.2
record
2019-09-16 · diff ↗
0.6.1
record
2019-07-10 · diff ↗ ·
removed 5 exports
dtriangular, dtruncnorm, predictive, rtriangular, rtruncnorm

added 2 exports
meta_ordered, predicted_bf
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23

Show 3 earlier eventsHide 3 earlier events

0.3.9
record
2017-08-04 · diff ↗
0.3.8
record
2017-07-26
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-07-26
Total releases: 9 / 9 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.0.0
Bundled data: 2.2 KB / 3 files
Download size: 164 KB

Appears in task views

Meta-Analysis

Cite

Cite this package

Run in R for the authors' entry:

citation("metaBMA")

The package provides a citation file, so citation() returns the authors' own entry.

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 metaBMA version 0.6.9 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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