R Observatory: Metrics for BayesMultMeta version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BayesMultMeta

0.1.1Package record

Bayesian Multivariate Meta-Analysis

0packages depend

3.2Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Erik ThorsénCRAN page ↗

Objective Bayesian inference procedures for the parameters of the multivariate random effects model with application to multivariate meta-analysis. The posterior for the model parameters, namely the overall mean vector and the between-study covariance matrix, are assessed by constructing Markov chains based on the Metropolis-Hastings algorithms as developed in Bodnar and Bodnar (2021) (arXiv:2104.02105). The Metropolis-Hastings algorithm is designed under the assumption of the normal distribution and the t-distribution when the Berger and Bernardo reference prior and the Jeffreys prior are assigned to the model parameters. Convergence properties of the generated Markov chains are investigated by the rank plots and the split hat-R estimate based on the rank normalization, which are proposed in Vehtari et al. (2021) (DOI:10.1214/20-BA1221).

Install

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

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

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

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-bayesmultmeta

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-BayesMultMeta

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-BayesMultMeta

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

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Erik Thorsén <erik.thorsen@math.su.se>’

The Description field contains
  (<arXiv:2104.02105>). The Metropolis-Hastings algorithm is designed
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 58 s · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.1

READMEYes · 56 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 15
Examples that run: 100%3 run in a plain check
Exported functions with examples: 20%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 7% with a bibliography file

How these are measured

Downloads

3.2K

CRAN downloads in the past year

Rank #11,783 · ~9/day · ~264/mo

Releases R versions

Daily download trend is not available in this view yet.

29530 days

92990 days

3.2K1 year

Compare downloads with other packages →

Also on115 r2u22 autocran79 c2d4u

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing BayesMultMeta adds 3 packages (1 with compiled code, 1.5 MB of source tarballs). Heaviest: rbibutils 1.1 MB, Rdpack 370 KB, assertthat 12 KB.

Depends (0)

none

Imports (2)

assertthat Rdpack

LinkingTo (0)

none

Suggests (3)

mvmeta gplots testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Erik Thorsén

Author, Maintainer since 0.1.0 (2022)

Olha Bodnar

Author · added in 0.1.1

Taras Bodnar

Author

Listed in earlier versions (1)

Ohla Bodnar

no longer listed · 0.1.0

Releases (2)

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
R
R 4.3.0 released · 2023-04-21
0.1.1Latest
record
2022-06-09 · current release · diff ↗
0.1.0
record
2022-05-17
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-05-17
Total releases: 2 / 4 yrs
License: MIT + file LICENSE OSI
Download size: 17 KB

Appears in task views

Meta-Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesMultMeta")

Format

Thorsén, E., Bodnar, O., & Bodnar, T. (2022). BayesMultMeta: Bayesian Multivariate Meta-Analysis (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.BayesMultMeta

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 BayesMultMeta version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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