R Observatory: Metrics for CausalMetaR version 0.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

CausalMetaR

0.1.3Package record

Causally Interpretable Meta-Analysis

0packages depend

6.3Kdownloads / year

52.9%test coverage

13/13flavors OK

Overview

About

Maintained by Sean McGrathCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 0.1.3

Updated documentation

From NEWS.md in the release

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. 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-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). 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: 6.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.3

READMEYes · 277 wordsVignettesNoNEWSYes · 100% structured · mentions 0.1.3Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 10
Examples that run: 0%8 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 40%

How these are measured

Downloads

6.3K

CRAN downloads in the past year

Rank #8,181 · ~17/day · ~521/mo

Releases R versions

Daily download trend is not available in this view yet.

39430 days

1.1K90 days

6.3K1 year

Compare downloads with other packages →

Also on114 r2u13 autocran

How downloads are counted

Repository

ly129/causalmetar ↗Account: ly129

3Stars

1Forks

0Open issues

0Open PRs

0Releases

135Commits

3Commit identities

135 commits · Last activity 2025-04-11

Responsiveness

How these are sampled

PRs merged (all time): not measured
Median days to close, 50 most recently updated closed issues: 559
Median days to close, 50 most recently updated closed PRs: not measured

Stars over time

2025-08-10 · 32026-07-07 · 3

How these are measured

PracticesBeta

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

Checks run against github.com/ly129/causalmetar on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Docs source (1)

README.Rmd

Reproducibility and dev environment (1)

data-raw/

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing CausalMetaR adds 33 packages (14 with compiled code, 31 MB of source tarballs). Heaviest: data.table 5.7 MB, metafor 4.8 MB, gplots 4.6 MB.

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.

How these are counted

Code & Tests

Datasets

People & History

People (4)

Sean McGrath

Author, Maintainer since 0.1.1 (2024)

Issa Dahabreh

Author

Yi Lian

Author

Guanbo Wang

Author

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.1.3Latest
record
2025-04-11 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.1.2
record
2024-06-04 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.1.1
record
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

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 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 CausalMetaR version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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