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.travis.yml Integrate netmeta with Apr 27, 2017
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DESCRIPTION More liberal treatment of negative treatment arm variances Jul 16, 2019
NAMESPACE netgraph.netimpact(): bug fix for argument 'plastic = TRUE' Apr 12, 2019
NEWS More liberal treatment of negative treatment arm variances Jul 16, 2019 Update references of published manuscripts Apr 29, 2019 More changes to Rgraphviz script Jun 5, 2019
netmeta.Rproj Use RStudio for package development Jan 9, 2019
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netmeta: Network Meta-Analysis using Frequentist Methods

Official Git repository of R package netmeta

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A comprehensive set of functions providing frequentist methods for network meta-analysis:

  • frequentist network meta-analysis (Rücker, 2012; Rücker & Schwarzer, 2014);

  • net heat plot and design-based decomposition of Cochran's Q (Krahn et al., 2013);

  • measures characterizing the flow of evidence between two treatments (König et al., 2013);

  • ranking of treatments based on frequentist analogue of SUCRA (Rücker & Schwarzer, 2015);

  • partial order of treatment rankings ('poset') and Hasse diagram for 'poset' (Carlsen & Bruggemann, 2014; Rücker & Schwarzer, 2017);

  • split direct and indirect evidence to check consistency (Dias et al., 2010);

  • league table with network meta-analysis results;

  • additive network meta-analysis for combinations of treatments (Rücker et al., 2019);

  • network meta-analysis of binary data using the Mantel-Haenszel method or the non-central hypergeometric distribution (Efthimiou et al., 2019);

  • 'comparison-adjusted' funnel plot (Chaimani & Salanti, 2012);

  • automated drawing of network graphs (Rücker & Schwarzer, 2016).

Furthermore, R package netmeta provides functions and datasets to support Schwarzer et al. (2015), Chapter 8 "Network Meta-Analysis", .


Carlsen L, Bruggemann R (2014): Partial order methodology: a valuable tool in chemometrics. Journal of Chemometrics, 28, 226-34

Chaimani A, Salanti G (2012): Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions. Research Synthesis Methods, 3, 161-76

Dias S, Welton NJ, Caldwell DM, Ades AE (2010): Checking consistency in mixed treatment comparison meta-analysis. Statistics in Medicine, 29, 932-44

Efthimiou O, Rücker G, Schwarzer G, Higgins J, Egger M, Salanti G (2019): A Mantel-Haenszel model for network meta-analysis of rare events. Statistics in Medicine, 1-21

König J, Krahn U, Binder H (2013): Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons. Statistics in Medicine, 32, 5414-29

Krahn U, Binder H, König J (2013): A graphical tool for locating inconsistency in network meta-analyses. BMC Medical Research Methodology, 13, 35

Rücker G (2012): Network meta-analysis, electrical networks and graph theory. Research Synthesis Methods, 3, 312-24

Rücker G, Schwarzer G (2014): Reduce dimension or reduce weights? Comparing two approaches to multi-arm studies in network meta-analysis. Statistics in Medicine, 33, 4353-69

Rücker G, Schwarzer G (2015): Ranking treatments in frequentist network meta-analysis works without resampling methods. BMC Medical Research Methodology, 15, 58

Rücker G, Schwarzer G (2016): Automated drawing of network plots in network meta-analysis. Research Synthesis Methods, 7, 94-107

Rücker G, Schwarzer G (2017): Resolve conflicting rankings of outcomes in network meta-analysis: Partial ordering of treatments. Research Synthesis Methods, 8, 526-36

Rücker G, Petropoulou M, Schwarzer G (2019): Network meta-analysis of multicomponent interventions. Biometrical Journal, 1-14

Schwarzer G, Carpenter JR and Rücker G (2015): Meta-Analysis with R (Use-R!). Springer International Publishing, Switzerland


Current official CRAN Version release:


Current development version on GitHub:

Installation using R package devtools:

devtools::install_github("guido-s/netmeta", ref = "develop")

Note, the development version of netmeta always has version number 6.6-6.

Bug Reports: = "netmeta")

The function is not supported in RStudio. Please send an email to Guido Schwarzer if you use RStudio.

You can also report bugs on GitHub under Issues.

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