Network Meta-Analysis using Frequentist Methods R package netmeta version 3.6-1 CRAN Task View: ClinicalTrials (https://CRAN.R-project.org/view=ClinicalTrials) CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis) 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>; - scatter plot to visualize local inconsistency (Wilson et al., 2026) <doi:10.1017/rsm.2026.10082>; - 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 (Kwarteng et al., 2026) <doi:10.21203/rs.3.rs-8235913/v1>; - subgroup network meta-analysis. Software Depends: R (>= 4.0.0), meta (>= 8.5-0) Imports: Matrix, metafor, MASS, mvtnorm, magic, igraph, ggplot2, colorspace, grid, dplyr, magrittr, methods, stringr, tidyr, ggrepel Suggests: Rgraphviz, graph, rgl, gridExtra, tictoc, writexl, R.rsp, cccp, brglm2, crossnma, gemtc, rmarkdown, knitr Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de> Comprehensive R Archive Network (CRAN) Gerta Rücker [aut] (ORCID: <https://orcid.org/0000-0002-2192-2560>), Ulrike Krahn [aut], Jochem König [aut] (ORCID: <https://orcid.org/0000-0003-4683-0360>), Orestis Efthimiou [aut] (ORCID: <https://orcid.org/0000-0002-0955-7572>), Annabel Davies [aut] (ORCID: <https://orcid.org/0000-0003-2320-7701>), Theodoros Papakonstantinou [aut] (ORCID: <https://orcid.org/0000-0002-6630-6817>), Theodoros Evrenoglou [ctb] (ORCID: <https://orcid.org/0000-0003-3336-8058>), Krzysztof Ciomek [ctb] (ORCID: <https://orcid.org/0000-0002-2293-2146>, Author of the original MIT-licensed R package hasseDiagram), Nana-adjoa Kwarteng [ctb] (ORCID: <https://orcid.org/0009-0009-0502-6887>), Guido Schwarzer [aut, cre] (ORCID: <https://orcid.org/0000-0001-6214-9087>) GPL (>= 2) file LICENSE (https://CRAN.R-project.org/package=netmeta/LICENSE) 2026-06-20 application/tgz https://CRAN.R-project.org/package=netmeta doi:10.32614/CRAN.package.netmeta