Official Git repository of R package netmeta
Gerta Rücker, Ulrike Krahn, Jochem König, Orestis Efthimiou, Annabel Davies, Theodoros Papakonstantinou, Guido Schwarzer
R package netmeta (Balduzzi et al., 2023) provides frequentist methods for network meta-analysis and supports Schwarzer et al. (2015), Chapter 8 "Network Meta-Analysis".
frequentist network meta-analysis (Rücker, 2012; Rücker & Schwarzer, 2014);
additive network meta-analysis for combinations of treatments (Rücker, Petropoulou et al., 2020);
network meta-analysis of binary data using the Mantel-Haenszel method or the non-central hypergeometric distribution (Efthimiou et al., 2019).
network graphs (Rücker & Schwarzer, 2016);
forest plots;
league tables with network meta-analysis results;
tables with network, direct and indirect estimates looking similar to the statistical part of a GRADE table for a network meta-analysis (Puhan et al., 2014).
rankograms and ranking by the Surface Under the Cumulative RAnking curve (SUCRA) (Salanti et al., 2011);
ranking of treatments by P-scores (frequentist analogue of SUCRAs without resampling) (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);
net heat plot and design-based decomposition of Cochran's Q (Krahn et al., 2013).
contribution of direct comparisons to network estimates (Papakonstantinou et al., 2018; Davies et al., 2022)
importance of individual studies measured by reduction of precision if removed from network (Rücker, Nikolakopoulou et al., 2020)
'comparison-adjusted' funnel plot (Chaimani & Salanti, 2012);
measures characterizing the flow of evidence between two treatments (König et al., 2013).
install.packages("netmeta")
Installation using R package remotes:
install.packages("remotes")
remotes::install_github("guido-s/netmeta")
A BibTeX entry for LaTeX users is provided by
citation(package = "netmeta")
You can report bugs on GitHub under Issues.
or using the R command
bug.report(package = "netmeta")
(which is not supported in RStudio).
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