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>; - 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>.

Version: 2.9-0
Depends: R (≥ 4.0.0), meta (≥ 6.2-0)
Imports: magic, MASS, ggplot2 (≥ 3.0.0), metafor
Suggests: colorspace, rgl, hasseDiagram (≥ 0.1.3), grid, mvtnorm, gridExtra, igraph (≥ 1.0.1), tictoc, writexl, cccp, R.rsp
Published: 2024-01-11
DOI: 10.32614/CRAN.package.netmeta
Author: Gerta Rücker ORCID iD [aut], Ulrike Krahn [aut], Jochem König ORCID iD [aut], Orestis Efthimiou ORCID iD [aut], Annabel Davies ORCID iD [aut], Theodoros Papakonstantinou ORCID iD [aut], Guido Schwarzer ORCID iD [aut, cre]
Maintainer: Guido Schwarzer <guido.schwarzer at uniklinik-freiburg.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/guido-s/netmeta https://link.springer.com/book/10.1007/978-3-319-21416-0
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

Downloads:

Package source: netmeta_2.9-0.tar.gz
Windows binaries: r-devel: netmeta_2.9-0.zip, r-release: netmeta_2.9-0.zip, r-oldrel: netmeta_2.9-0.zip
macOS binaries: r-release (arm64): netmeta_2.9-0.tgz, r-oldrel (arm64): netmeta_2.9-0.tgz, r-release (x86_64): netmeta_2.9-0.tgz, r-oldrel (x86_64): netmeta_2.9-0.tgz
Old sources: netmeta archive

Reverse dependencies:

Reverse depends: crossnma, nmarank
Reverse imports: fragility, NMAoutlier, poth, rankinma, RepeatedHighDim, ssifs, viscomp
Reverse suggests: meta, metadat, nmadb, OssaNMA, RcmdrPlugin.EZR, tracenma

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