netmeta: Network Meta-Analysis using Frequentist Methods
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>; - 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>; - subgroup network meta-analysis.
| Version: | 3.1-1 |
| Depends: | R (≥ 4.0.0), meta (≥ 8.0-1) |
| Imports: | Matrix, metafor, MASS, mvtnorm, magic, igraph, ggplot2, colorspace, grid, dplyr, magrittr, methods |
| Suggests: | Rgraphviz, graph, rgl, gridExtra, tictoc, writexl, R.rsp, cccp, brglm2 |
| Published: | 2025-02-06 |
| DOI: | 10.32614/CRAN.package.netmeta |
| Author: | Gerta Rücker 
[aut],
Ulrike Krahn [aut],
Jochem König
[aut],
Orestis Efthimiou
[aut],
Annabel Davies
[aut],
Theodoros Papakonstantinou
[aut],
Theodoros Evrenoglou
[ctb],
Krzysztof Ciomek
[ctb] (Author of the original MIT-licensed R package hasseDiagram),
Guido Schwarzer
[aut, cre] |
| Maintainer: | Guido Schwarzer <guido.schwarzer at uniklinik-freiburg.de> |
| License: | GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
| URL: | https://github.com/guido-s/netmeta |
| NeedsCompilation: | no |
| Citation: | netmeta citation info |
| Materials: | NEWS |
| In views: | MetaAnalysis |
| CRAN checks: | netmeta results |
Documentation:
| Reference manual: | netmeta.pdf |
| Vignettes: |
netmeta: An R package for Network Meta-Analysis using Frequentist Methods (source) |
Downloads:
| Package source: | netmeta_3.1-1.tar.gz |
| Windows binaries: | r-devel: netmeta_3.1-1.zip, r-release: netmeta_3.1-1.zip, r-oldrel: netmeta_3.1-1.zip |
| macOS binaries: | r-devel (arm64): netmeta_3.1-1.tgz, r-release (arm64): netmeta_3.1-1.tgz, r-oldrel (arm64): netmeta_3.1-1.tgz, r-devel (x86_64): netmeta_3.1-1.tgz, r-release (x86_64): netmeta_3.1-1.tgz, r-oldrel (x86_64): netmeta_3.1-1.tgz |
| Old sources: | netmeta archive |
Reverse dependencies:
| Reverse depends: | crossnma, mtrank, nmarank |
| Reverse imports: | fragility, NMAoutlier, poth, rankinma, RepeatedHighDim, ssifs, survNMA, viscomp |
| Reverse suggests: | MBNMAdose, meta, metadat, OssaNMA, RcmdrPlugin.EZR |
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