R Observatory: Metrics for CausalMetaR version 0.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

CausalMetaR

0.1.3

Causally Interpretable Meta-Analysis

0packages depend

6.6Kdownloads / year

52.9%test coverage

13/13checks pass

Overview

About

Maintained by Sean McGrathFirst published 2024-01-153 releasesCRAN page ↗GitHub ↗

Provides robust and efficient methods for estimating causal effects in a target population using a multi-source dataset, including those of Dahabreh et al. (2019) doi:10.1111/biom.13716, Robertson et al. (2021) doi:10.48550/arXiv.2104.05905, and Wang et al. (2024) doi:10.48550/arXiv.2402.02684. The multi-source data can be a collection of trials, observational studies, or a combination of both, which have the same data structure (outcome, treatment, and covariates). The target population can be based on an internal dataset or an external dataset where only covariate information is available. The causal estimands available are average treatment effects and subgroup treatment effects. See Wang et al. (2025) doi:10.1017/rsm.2025.5 for a detailed guide on using the package.

Install

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

install.packages("CausalMetaR", 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("ly129/CausalMetaR")

Development version from ly129/CausalMetaR. 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-causalmetar

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-CausalMetaR

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-CausalMetaR

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

Health

CRAN checks

13OK

Slowest check: 10.3 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.05

52.9%

Coverage · measured lines

100%

Documentation · exports

5

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
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 277 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 100%
Return-value docs: 100%
References docs: 40%

Downloads

6.6K

CRAN downloads in the past year

Rank #6,806 · ~18/day · ~547/mo

Releases R versions

Daily download trend is not available in this view yet.

28930 days

1.2K90 days

6.6K1 year

Compare downloads with other packages →

Also on155 r2u37 autocran

Repository

GitHub ↗ ly129/causalmetar

3Stars

1Forks

0Open issues

0Open PRs

0Releases

135Commits

3Contributors

135 commits · Last activity 2025-04-11 · 0% stars, 30d

Stars over time

2025-08-10 · 32026-07-07 · 3

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/ly129/causalmetar on 2026-08-23.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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 (5)

glmnet metafornnetprogress SuperLearner

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Sean McGrath

Author, Maintainer

Authors (4)

Author, Maintainer

Author

Author

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.1.3Latest
2025-04-11 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.1.2
2024-06-04 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.1.1
2024-01-15
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2024-01-15
Total releases: 3 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 2.10
Bundled data: 1,015 KB / 2 files
Download size: 1.0 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Meta-Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CausalMetaR")

Format

McGrath, S., Dahabreh, I., Lian, Y., & Wang, G. (2025). CausalMetaR: Causally Interpretable Meta-Analysis (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.CausalMetaR

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 CausalMetaR version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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