netmeta
3.6-1Network Meta-Analysis using Frequentist Methods
Overview
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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 78%
- Documented parameters
- 94%
- Return-value docs
- 76%
- References docs
- 40%
Downloads
Repository
Stars over time
Forks over time
Issues over time
PRs over time
Commits over time
Repository practices
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.
Dependencies
Code & Tests
Datasets
People & History
47 releases. Pick two to compare their code metrics. R releases are shown for context.
- 3.6-1Latest
- 3.6-02026-06-10 · diff ↗
- 3.5-02026-05-28 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 3.4-02026-04-11 · diff ↗
- 3.3-12026-01-28 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 3.2-02025-04-10 · diff ↗
- 3.1-12025-02-06 · diff ↗
- 3.1-02025-02-04 · diff ↗
- 3.0-22025-01-22 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 2.9-02024-01-11 · diff ↗
- 2.8-22023-05-06 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 2.8-12023-03-16 · diff ↗
Show 45 earlier events
- 2.8-02023-02-27 · diff ↗
- 2.7-02022-12-22 · diff ↗
- 2.6-02022-11-04 · diff ↗
- 2.5-02022-07-12 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 2.1-02022-01-20 · diff ↗
- 2.0-12021-10-27 · diff ↗
- 2.0-02021-10-13 · diff ↗
- 1.5-02021-06-29 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.4-02021-05-11 · diff ↗
- 1.3-02021-01-18 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.2-12020-04-16 · diff ↗
- 1.2-02020-01-09 · diff ↗
- 1.1-02019-08-07 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.0-12019-01-02 · diff ↗
- 1.0-02018-12-20 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.9-82018-03-23 · diff ↗
- 0.9-72017-12-06 · diff ↗
- 0.9-62017-08-09 · diff ↗
- 0.9-52017-05-31 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 0.9-42017-04-08 · diff ↗
- 0.9-32017-03-12 · diff ↗
- 0.9-22016-11-22 · diff ↗
- 0.9-12016-10-14 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 0.9-02016-04-26 · diff ↗
- 0.8-02015-06-26 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 0.7-02015-02-04 · diff ↗
- 0.6-02014-07-29 · diff ↗
- 0.5-02014-06-24 · diff ↗
- 0.4-42014-05-27 · diff ↗
- 0.4-32014-04-14 · diff ↗
- RR 3.1.0 released · 2014-04-10
- 0.4-22014-03-31 · diff ↗
- 0.4-12014-03-21 · diff ↗
- 0.4-02014-03-07 · diff ↗
- 0.3-12013-08-01 · diff ↗
- 0.3-02013-07-24
- RR 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")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.
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.