Package: netmeta 3.6-0
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>; - 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.
Authors:
netmeta_3.6-0.tar.gz
netmeta_3.6-0.tar.gz(r-4.7-any)netmeta_3.6-0.tar.gz(r-4.6-any)
netmeta_3.6-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
netmeta/json (API)
NEWS
| # Install 'netmeta' in R: |
| install.packages('netmeta', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/guido-s/netmeta/issues
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Last updated from:6a5ce5f4f6. Checks:2 WARNING, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 344 | ||
| source / vignettes | OK | 237 | ||
| linux-release-x86_64 | WARNING | 276 | ||
| wasm-release | OK | 142 |
Exports:combinationscompscreateCcrossnma2netmetadecomp.designdiscombgemtc2netmetahassehatmatrixheatplotinvmatnetbindnetcombnetcomparisonnetcomplexnetconnectionnetcontribnetdistancenetgraphnetheatnetimpactnetleaguenetmatrixnetmeasuresnetmetanetmetabinnetmetaregnetpairwisenetposetnetranknetsplitnettablerankogramsettings.netmetasubgrouptreats
Dependencies:abindbitbit64bootclicliprcolorspaceCompQuadFormcpp11crayondigestdplyrfarvergenericsggplot2ggrepelgluegtablehmsigraphisobandlabelinglatticelifecyclelme4magicmagrittrMASSmathjaxrMatrixmetametabookmetadatmetaforminqamvtnormnlmenloptrnumDerivpbapplypillarpkgconfigprettyunitsprogresspurrrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasrlangS7scalesstringistringrtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxml2
netmeta: An R package for Network Meta-Analysis using Frequentist Methods
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netmeta: Network Meta-Analysis using Frequentist Methods - Workflow
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