magic, MASS, ggplot2 (>= 3.0.0), metafor

colorspace, rgl, hasseDiagram (>= 0.1.3), grid, mvtnorm,
gridExtra, igraph (>= 1.0.1)
c(person("Gerta", "Rücker",
role = "aut",
comment = c(ORCID = "0000-0002-2192-2560")),
person("Ulrike", "Krahn",
role = "aut"),
person("Jochem", "König",
role = "aut",
comment = c(ORCID = "0000-0003-4683-0360")),
person("Orestis", "Efthimiou",
role = "aut",
comment = c(ORCID = "0000-0002-0955-7572")),
person("Theodoros", "Papakonstantinou",
role = "aut",
comment = c(ORCID = "0000-0002-6630-6817")),
person("Guido", "Schwarzer",
role = c("aut", "cre"),
email = "sc@imbi.uni-freiburg.de",
comment = c(ORCID = "0000-0001-6214-9087")))
A comprehensive set of functions providing frequentist methods for network meta-analysis 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>;
- 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>;
- ranking of treatments (frequentist analogue of SUCRA) according to Rücker & Schwarzer (2015) <DOI:10.1186/s12874-015-0060-8>;
- 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>;
- 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;
- additive network meta-analysis for combinations of treatments (Rücker et al., 2019) <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>;
- 'comparison-adjusted' funnel plot (Chaimani & Salanti, 2012) <DOI:10.1002/jrsm.57>;
- automated drawing of network graphs described in Rücker & Schwarzer (2016) <DOI:10.1002/jrsm.1143>;
- rankograms based on SUCRA;
- contribution matrix as described in Papakonstantinou et al. (2018) <DOI:10.12688/f1000research.14770.3>.
Gerta Rücker [aut] (<https://orcid.org/0000-0002-2192-2560>),
Ulrike Krahn [aut],
Jochem König [aut] (<https://orcid.org/0000-0003-4683-0360>),
Orestis Efthimiou [aut] (<https://orcid.org/0000-0002-0955-7572>),
Theodoros Papakonstantinou [aut]
(<https://orcid.org/0000-0002-6630-6817>),
Guido Schwarzer [aut, cre] (<https://orcid.org/0000-0001-6214-9087>)