R Observatory: Metrics for metasens version 1.5-3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

metasens

1.5-3Package record

Statistical Methods for Sensitivity Analysis in Meta-Analysis

0packages dependsuggested by 2

28.9Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Guido SchwarzerCRAN page ↗GitHub ↗Website ↗

The following methods are implemented to evaluate how sensitive the results of a meta-analysis are to potential bias in meta-analysis and to support Schwarzer et al. (2015) DOI:10.1007/978-3-319-21416-0, Chapter 5 'Small-Study Effects in Meta-Analysis': - Copas selection model described in Copas & Shi (2001) DOI:10.1177/096228020101000402; - limit meta-analysis by Rücker et al. (2011) DOI:10.1093/biostatistics/kxq046; - upper bound for outcome reporting bias by Copas & Jackson (2004) DOI:10.1111/j.0006-341X.2004.00161.x; - imputation methods for missing binary data by Gamble & Hollis (2005) DOI:10.1016/j.jclinepi.2004.09.013 and Higgins et al. (2008) DOI:10.1177/1740774508091600; - LFK index test and Doi plot by Furuya-Kanamori et al. (2018) DOI:10.1097/XEB.0000000000000141.

Changes in 1.5-3

Major changes

R functions lfkindex() and doiplot() can be used in meta-analysis with missing treatment effect or standard error

User-visible changes

print.copas():
new arguments 'text.adj' and 'text.unadj' to label results for the adjusted and unadjusted treatment estimate
limitmeta():
print informative error message if input is a generalised linear mixed model
metamiss():
replace infinite values in argument 'IMOR.e' and 'IMOR.c' with value 1e8
Do not print the start-up message concerning older version of R package **metasens** for readers of 'Meta-Analysis with R (Use R!)'

Show all changes in 1.5-3Hide the rest of the changes in 1.5-3

Internal changes

copas(), lfkindex(), limitmeta(), orbbound:
check for three-level meta-analysis

From NEWS.md in the release

Install

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

install.packages("metasens", 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("guido-s/metasens")

Development version from guido-s/metasens. 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-metasens

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-metasens

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-metasens

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: 3.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.5-3

README· In the repository, left out of the releaseVignettesNoNEWSYes · 100% structured · mentions 1.5-3Citation fileNoWebsiteYes

Help pages: 19includes a package overview page
Examples that run: 100%18 run in a plain check
Exported functions with examples: 100%
Documented parameters: 66%
Return-value docs: 50%
Help pages citing references: 42%

How these are measured

Downloads

28.9K

CRAN downloads in the past year

Rank #2,310 · ~79/day · ~2.4K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.6K30 days

7.4K90 days

28.9K1 year

Compare downloads with other packages →

Also on109 r2u6 autocran117 c2d4u

How downloads are counted

Repository

guido-s/metasens ↗Account: guido-s

9Stars

2Forks

1Open issues

0Open PRs

0Releases

74Commits

2Commit identities

meta-analysispublication-biasadjustmentcranrrstudio

License file reads as GPL-2.0 · 74 commits · Last activity 2025-05-02 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2024-08-22 · 72026-07-07 · 9

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/guido-s/metasens on 2026-10-21.

Continuous integration (1)

Travis CI (config file)

Governance and community (1)

Issue templates

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

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Installing metasens adds 56 packages (28 with compiled code, 52 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, metafor 4.8 MB.

Depends (1)

Code & Tests

Datasets

People & History

People (3)

Guido Schwarzer

Maintainer since 0.1-0 (2014), Author

James R. Carpenter

Author · added in 0.3-2

Gerta Rücker

Author

Listed in earlier versions (1)

James Carpenter

no longer listed · 0.1-0 to 0.3-1

Releases (15)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.5-3Latest
record
2025-05-02 · current release · diff ↗
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
1.5-2
record
2023-02-28 · diff ↗
1.5-1
record
2022-12-21 · diff ↗
1.5-0
record
2022-07-12 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.0-1
record
2022-01-28 · diff ↗
1.0-0
record
2021-10-22 · diff ↗ ·
removed 2 exports
print.limitmeta, print.summary.limitmeta
R
R 4.1.0 released · 2021-05-18
0.6-0
record
2021-01-16 · diff ↗ ·
added 3 exports
doiplot, lfkindex, print.lfkindex
0.5-0
record
2020-09-29 · diff ↗
0.4-1
record
2020-07-02 · diff ↗
R
R 4.0.0 released · 2020-04-24

Show 12 earlier eventsHide 12 earlier events

0.4-0
record
2019-08-06 · diff ↗ ·
added 1 export
metamiss
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.3-2
record
2017-12-06 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.3-1
record
2016-10-15 · diff ↗
R
R 3.3.0 released · 2016-05-03
0.3-0
record
2016-02-17 · diff ↗
R
R 3.2.0 released · 2015-04-16
0.2-0
record
2014-12-07 · diff ↗
0.1-0
record
2014-06-24
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2014-06-24
Total releases: 15 / 12 yrs
License: GPL (>= 2) OSI
Bundled data: 0.8 KB / 2 files
Download size: 86 KB

Appears in task views

Clinical Trial Design, Monitoring, Analysis and Reporting Meta-Analysis Missing Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("metasens")

Format

Schwarzer, G., Carpenter, J. R., & Rücker, G. (2025). metasens: Statistical Methods for Sensitivity Analysis in Meta-Analysis (Version 1.5-3) [Computer software]. https://doi.org/10.32614/CRAN.package.metasens

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 metasens version 1.5-3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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