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netmeta

3.6-1

Network Meta-Analysis using Frequentist Methods

22packages depend
142.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Guido SchwarzerFirst published 2013-07-2447 releasesCRAN page ↗GitHub ↗

A comprehensive set of functions providing frequentist methods for network meta-analysis (Balduzzi et al., 2023) doi:10.18637/jss.v106.i02 and supporting Schwarzer et al. (2015) doi:10.1007/978-3-319-21416-0, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) doi:10.1002/jrsm.1058; - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) doi:10.1002/bimj.201800167; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) doi:10.1002/sim.8158, or penalised logistic regression (Evrenoglou et al., 2022) doi:10.1002/sim.9562; - rankograms and ranking of treatments by the Surface under the cumulative ranking curve (SUCRA) (Salanti et al., 2013) doi:10.1016/j.jclinepi.2010.03.016; - ranking of treatments using P-scores (frequentist analogue of SUCRAs without resampling) according to Rücker & Schwarzer (2015) doi:10.1186/s12874-015-0060-8; - split direct and indirect evidence to check consistency (Dias et al., 2010) doi:10.1002/sim.3767, (Efthimiou et al., 2019) doi:10.1002/sim.8158; - scatter plot to visualize local inconsistency (Wilson et al., 2026) doi:10.1017/rsm.2026.10082; - league table with network meta-analysis results; - 'comparison-adjusted' funnel plot (Chaimani & Salanti, 2012) doi:10.1002/jrsm.57; - net heat plot and design-based decomposition of Cochran's Q according to Krahn et al. (2013) doi:10.1186/1471-2288-13-35; - measures characterizing the flow of evidence between two treatments by König et al. (2013) doi:10.1002/sim.6001; - automated drawing of network graphs described in Rücker & Schwarzer (2016) doi:10.1002/jrsm.1143; - partial order of treatment rankings ('poset') and Hasse diagram for 'poset' (Carlsen & Bruggemann, 2014) doi:10.1002/cem.2569; (Rücker & Schwarzer, 2017) doi:10.1002/jrsm.1270; - contribution matrix as described in Papakonstantinou et al. (2018) doi:10.12688/f1000research.14770.3 and Davies et al. (2022) doi:10.1002/sim.9346; - network meta-regression with a single continuous or binary covariate (Kwarteng et al., 2026) doi:10.21203/rs.3.rs-8235913/v1; - subgroup network meta-analysis.

Install

Health

CRAN checks
13OK
Slowest check: 10.8 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
16
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
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
78%
Documented parameters
94%
Return-value docs
76%
References docs
40%

Downloads

142.3K
CRAN downloads in the past year
Rank #1,212 · ~390/day · ~11.9K/mo
Daily download trend is not available in this view yet.
7.8K30 days
27.8K90 days
142.3K1 year
Compare downloads with other packages →
Also on574 r2u21 autocran3.1K conda_forge82 c2d4u

Repository

Repository
40Stars
16Forks
1Open issues
1Open PRs
0Releases
799Commits
7Contributors
meta-analysisnetwork-meta-analysiscranrrstudio
799 commits · Last activity 2026-08-10 · 0% stars, 30d

Stars over time

2025-05-07 · 342026-07-07 · 40

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/guido-s/netmeta on 2026-08-16.

Continuous integration (1)
Travis CI
Governance and community (1)
Issue templates
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
25 external dependencies (excludes base and recommended)
Depends (2)
R >= 4.0.0meta
LinkingTo (0)
none
Enhances (0)
none

Code & Tests

Datasets

People & History

People (10)
Maintainer (1)
Author, Maintainer
Authors (7)
Author, Maintainer
Author · added in 2.0-0
Author · added in 1.0-0
Author · added in 0.4-0
Author · added in 0.5-0
Author · added in 1.5-0
Author · added in 0.4-0
Contributors (3)
Contributor · added in 3.1-0
Contributor · added in 3.0-2
Contributor · added in 3.2-0
Listed in earlier versions (1)
no longer listed · 0.3-0 to 0.3-1
Package Timeline

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

  • 3.6-1Latest
    2026-06-20 · current release · diff ↗
  • 3.6-0
    2026-06-10 · diff ↗
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  • R
    R 4.6.0 released · 2026-04-24
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    R 4.5.0 released · 2025-04-11
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    R 4.4.0 released · 2024-04-24
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    R 4.3.0 released · 2023-04-21
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    R 4.2.0 released · 2022-04-22
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    R 4.1.0 released · 2021-05-18
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    R 4.0.0 released · 2020-04-24
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    2019-08-07 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
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    2018-12-20 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
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    R 3.4.0 released · 2017-04-21
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    R 3.3.0 released · 2016-05-03
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    R 3.2.0 released · 2015-04-16
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    R 3.1.0 released · 2014-04-10
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  • 0.3-1
    2013-08-01 · diff ↗
  • 0.3-0
    2013-07-24
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2013-07-24
Total releases
47 / 13 yrs
License
GPL (>= 2) | file LICENSE OSI
Minimum R
≥ 4.0.0
Bundled data
15 KB / 13 files
Download size
893 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("netmeta")
Schwarzer, G., Ciomek, K., Davies, A., Efthimiou, O., Evrenoglou, T., Krahn, U., Kwarteng, N., König, J., Papakonstantinou, T., & Rücker, G. (2026). netmeta: Network Meta-Analysis using Frequentist Methods (Version 3.6-1) [Computer software]. https://doi.org/10.32614/CRAN.package.netmeta

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for netmeta version 3.6-1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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