The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
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 |
Reference manual: | netmeta.pdf |
Vignettes: |
netmeta: An R package for Network Meta-Analysis using Frequentist Methods |
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 depends: | crossnma, nmarank |
Reverse imports: | fragility, NMAoutlier, rankinma, RepeatedHighDim, ssifs, viscomp |
Reverse suggests: | MBNMAdose, metadat, nmadb, OssaNMA, RcmdrPlugin.EZR, tracenma |
Please use the canonical form https://CRAN.R-project.org/package=netmeta to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.