R package netmeta provides frequentist methods for network meta-analysis and supports Schwarzer et al. (2015), Chapter 8 on network meta-analysis http://meta-analysis-with-r.org/.
R package netmeta is an add-on package for meta providing the following meta-analysis methods:
frequentist network meta-analysis (function
netmeta) based on R<U+00FC>cker (2012);
net heat plot (netheat) and design-based
decomposition of Cochran's Q (decomp.design)
described in Krahn et al. (2013);
measures characterizing the flow of evidence between two
treatments (netmeasures) described in K<U+00F6>nig et
al. (2013);
ranking of treatments (netrank) based on
frequentist analogue of SUCRA (R<U+00FC>cker & Schwarzer, 2015);
partial order of treatment rankings (netposet,
plot.netposet) and Hasse diagram
(hasse) according to Carlsen & Bruggemann (2014);
split direct and indirect evidence (netsplit) to
check for consistency (Dias et al., 2010);
league table with network meta-analysis results
(netleague);
automated drawing of network graphs (netgraph)
described in R<U+00FC>cker & Schwarzer (2016).
Furthermore, functions and datasets from netmeta are utilised in Schwarzer et al. (2015), Chapter 8 "Network Meta-Analysis", http://meta-analysis-with-r.org/.
Type help(package = "netmeta") for a listing of R functions
available in netmeta.
Type citation("netmeta") on how to cite netmeta in
publications.
To report problems and bugs
type bug.report(package = "netmeta") if you do not use
RStudio,
send an email to Guido Schwarzer sc@imbi.uni-freiburg.de if you use RStudio.
The development version of netmeta is available on GitHub https://github.com/guido-s/netmeta.
Carlsen L, Bruggemann R (2014), Partial order methodology: a valuable tool in chemometrics. Journal of Chemometrics, 28, 226--34, DOI:10.1002/cem.2569 .
Dias S, Welton NJ, Caldwell DM, Ades AE (2010). Checking consistency in mixed treatment comparison meta-analysis. Statistics in Medicine, 29, 932--44.
K<U+00F6>nig J, Krahn U, Binder H (2013). Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons. Statistics in Medicine, 32(30), 5414--29.
Krahn U, Binder H, K<U+00F6>nig J (2013), A graphical tool for locating inconsistency in network meta-analyses. BMC Medical Research Methodology, 13, 35.
R<U+00FC>cker G (2012), Network meta-analysis, electrical networks and graph theory. Research Synthesis Methods, 3, 312--24.
R<U+00FC>cker G & Schwarzer G (2015), Ranking treatments in frequentist network meta-analysis works without resampling methods. BMC Medical Research Methodology, 15, 58, DOI:10.1186/s12874-015-0060-8 .
R<U+00FC>cker G & Schwarzer G (2016), Automated drawing of network plots in network meta-analysis. Research Synthesis Methods, 7, 94--107.
Schwarzer G, Carpenter JR and R<U+00FC>cker G (2015), Meta-Analysis with R (Use-R!). Springer International Publishing, Switzerland. http://www.springer.com/gp/book/9783319214153