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>;
- 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;
- subgroup network meta-analysis.
| Version: |
3.3-1 |
| Depends: |
R (≥ 4.0.0), meta (≥ 8.0-1) |
| Imports: |
Matrix, metafor, MASS, mvtnorm, magic, igraph, ggplot2, colorspace, grid, dplyr, magrittr, methods |
| Suggests: |
Rgraphviz, graph, rgl, gridExtra, tictoc, writexl, R.rsp, cccp, brglm2, crossnma, gemtc, rmarkdown, knitr |
| Published: |
2026-01-28 |
| DOI: |
10.32614/CRAN.package.netmeta |
| Author: |
Gerta Rücker 
[aut],
Ulrike Krahn [aut],
Jochem König
[aut],
Orestis Efthimiou
[aut],
Annabel Davies
[aut],
Theodoros Papakonstantinou
[aut],
Theodoros Evrenoglou
[ctb],
Krzysztof Ciomek
[ctb] (Author of the original MIT-licensed R package hasseDiagram),
Nana-Adjoa Kwarteng
[ctb],
Guido Schwarzer
[aut, cre] |
| Maintainer: |
Guido Schwarzer <guido.schwarzer at uniklinik-freiburg.de> |
| License: |
GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
| URL: |
https://github.com/guido-s/netmeta |
| NeedsCompilation: |
no |
| Citation: |
netmeta citation info |
| Materials: |
NEWS |
| In views: |
ClinicalTrials, MetaAnalysis |
| CRAN checks: |
netmeta results |