netmeta

Official Git repository of R package netmeta

https://github.com/guido-s/netmeta

Science Score: 59.0%

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    Found 36 DOI reference(s) in README
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    Links to: scholar.google, springer.com
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    1 of 5 committers (20.0%) from academic institutions
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    Low similarity (8.7%) to scientific vocabulary

Keywords

cran meta-analysis network-meta-analysis r rstudio
Last synced: 6 months ago · JSON representation

Repository

Official Git repository of R package netmeta

Basic Info
Statistics
  • Stars: 34
  • Watchers: 9
  • Forks: 15
  • Open Issues: 0
  • Releases: 0
Topics
cran meta-analysis network-meta-analysis r rstudio
Created about 11 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog License

README.md

netmeta: Network Meta-Analysis using Frequentist Methods

Official Git repository of R package netmeta

License: GPL (>=2) CRAN Version GitHub develop Monthly Downloads Total Downloads

Authors

Gerta Rücker, Ulrike Krahn, Jochem König, Orestis Efthimiou, Annabel Davies, Theodoros Papakonstantinou, Guido Schwarzer

Contributors

Theodoros Evrenoglou, Krzysztof Ciomek

Description

R package netmeta (Balduzzi et al., 2023) provides frequentist methods for network meta-analysis and supports Schwarzer et al. (2015), Chapter 8 "Network Meta-Analysis".

Available network meta-analysis models

Methods to present results of a network meta-analysis

  • network graphs (Rücker & Schwarzer, 2016);

  • forest plots;

  • league tables with network meta-analysis results;

  • tables with network, direct and indirect estimates looking similar to the statistical part of a GRADE table for a network meta-analysis (Puhan et al., 2014).

Methods to rank treatments

Methods to evaluate network inconsistency

Additional methods

Installation

Current official CRAN Version release:

r install.packages("netmeta")

Current GitHub develop release on GitHub:

Installation using R package remotes: r install.packages("remotes") remotes::install_github("guido-s/netmeta", ref = "develop", build_vignettes = TRUE)

How to cite netmeta?

Balduzzi S, Rücker G, Nikolakopoulou A, Papakonstantinou T, Salanti G, Efthimiou O, Schwarzer G (2023): netmeta: An R package for network meta-analysis using frequentist methods. Journal of Statistical Software, 106, 1-40

A BibTeX entry for LaTeX users is provided by

citation(package = "netmeta")

Bug Reports:

You can report bugs on GitHub under Issues.

or using the R command

r bug.report(package = "netmeta")

(which is not supported in RStudio).

References

Balduzzi S, Rücker G, Nikolakopoulou A, Papakonstantinou T, Salanti G, Efthimiou O, Schwarzer G (2023): netmeta: An R package for network meta-analysis using frequentist methods. Journal of Statistical Software, 106, 1-40

Carlsen L, Bruggemann R (2014): Partial order methodology: a valuable tool in chemometrics. Journal of Chemometrics, 28, 226-34

Chaimani A, Salanti G (2012): Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions. Research Synthesis Methods, 3, 161-76

Davies AL, Papakonstantinou T, Nikolakopoulou A, Rücker G, Galla T (2022): Network meta-analysis and random walks. Statistics in Medicine, 41, 2091-2114

Dias S, Welton NJ, Caldwell DM, Ades AE (2010): Checking consistency in mixed treatment comparison meta-analysis. Statistics in Medicine, 29, 932-44

Efthimiou O, Rücker G, Schwarzer G, Higgins JPT, Egger M, Salanti G (2019): Network meta-analysis of rare events using the Mantel-Haenszel method. Statistics in Medicine, 16, 2992-3012

Evrenoglou T, White IR, Afach S, Mavridis D, Chaimani A (2022): Network meta-analysis of rare events using penalized likelihood regression. Statistics in Medicine, 41, 5203-19).

König J, Krahn U, Binder H (2013): Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons. Statistics in Medicine, 32, 5414-29

Krahn U, Binder H, König J (2013): A graphical tool for locating inconsistency in network meta-analyses. BMC Medical Research Methodology, 13, 35

Papakonstantinou T, Nikolakopoulou A, Rücker G, Chaimani A, Schwarzer G, Egger M, Salanti G (2018): Estimating the contribution of studies in network meta-analysis: paths, flows and streams. F1000Research, 7, 610

Puhan MA, Schünemann HJ, Murad MH, Li T, Brignardello-Petersen R, Singh JA, Kessels AG, Guyatt GH, for the GRADE Working Group (2014): A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis. BMJ, 349, g5630)

Rücker G (2012): Network meta-analysis, electrical networks and graph theory. Research Synthesis Methods, 3, 312-24

Rücker G, Schwarzer G (2014): Reduce dimension or reduce weights? Comparing two approaches to multi-arm studies in network meta-analysis. Statistics in Medicine, 33, 4353-69

Rücker G, Schwarzer G (2015): Ranking treatments in frequentist network meta-analysis works without resampling methods. BMC Medical Research Methodology, 15, 58

Rücker G, Schwarzer G (2016): Automated drawing of network plots in network meta-analysis. Research Synthesis Methods, 7, 94-107

Rücker G, Schwarzer G (2017): Resolve conflicting rankings of outcomes in network meta-analysis: Partial ordering of treatments. Research Synthesis Methods, 8, 526-36

Rücker G, Petropoulou M, Schwarzer G (2020): Network meta-analysis of multicomponent interventions. Biometrical Journal, 62, 808-21

Rücker G, Nikolakopoulou A, Papakonstantinou T, Salanti G, Riley RD, Schwarzer G (2020): The statistical importance of a study for a network meta-analysis estimate. BMC Medical Research Methodology, 20, 190

Salanti G, Ades AE, Ioannidis JPA (2011): Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. Journal of Clinical Epidemiology, 64, 163-71

Schwarzer G, Carpenter JR and Rücker G (2015): Meta-Analysis with R (Use R!). Springer International Publishing, Switzerland

Owner

  • Name: Guido Schwarzer
  • Login: guido-s
  • Kind: user
  • Location: Freiburg, Germany
  • Company: Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg

Research interests: meta-analysis, statistical programming - Author of Use-R! book "Meta-Analysis with R" (http://www.springer.com/gp/book/9783319214153)

GitHub Events

Total
  • Issues event: 1
  • Watch event: 6
  • Push event: 70
  • Pull request event: 5
  • Fork event: 2
  • Create event: 4
Last Year
  • Issues event: 1
  • Watch event: 6
  • Push event: 70
  • Pull request event: 5
  • Fork event: 2
  • Create event: 4

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 587
  • Total Committers: 5
  • Avg Commits per committer: 117.4
  • Development Distribution Score (DDS): 0.022
Past Year
  • Commits: 92
  • Committers: 3
  • Avg Commits per committer: 30.667
  • Development Distribution Score (DDS): 0.043
Top Committers
Name Email Commits
Guido Schwarzer sc@i****e 574
Thodoris Papakonstantinou m****l@t****m 7
Nana-Adjoa Kwarteng k****g@a****e 3
Thodoris Papakonstantinou t****u@m****n 2
Nana-Adjoa Kwarteng n****g@u****e 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 17
  • Total pull requests: 6
  • Average time to close issues: 3 months
  • Average time to close pull requests: 2 days
  • Total issue authors: 16
  • Total pull request authors: 4
  • Average comments per issue: 2.76
  • Average comments per pull request: 0.67
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 3
  • Average time to close issues: 7 days
  • Average time to close pull requests: 3 days
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • aaronxs (2)
  • ltrainstg (1)
  • zhui126 (1)
  • Vanessa-WV (1)
  • wanx4910 (1)
  • gmvidalmd (1)
  • SWolf23 (1)
  • Rscho314 (1)
  • fedenichetti (1)
  • zddzxxsmile (1)
  • AlvaroPT2023 (1)
  • holub008 (1)
  • verweijs (1)
  • CharlieLima (1)
  • nelsoncarvasjr (1)
Pull Request Authors
  • kwartengNA (4)
  • guido-s (2)
  • tpapak (2)
  • holub008 (1)
Top Labels
Issue Labels
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Packages

  • Total packages: 2
  • Total downloads:
    • cran 11,052 last-month
  • Total docker downloads: 43,447
  • Total dependent packages: 12
    (may contain duplicates)
  • Total dependent repositories: 13
    (may contain duplicates)
  • Total versions: 45
  • Total maintainers: 1
cran.r-project.org: netmeta

Network Meta-Analysis using Frequentist Methods

  • Versions: 42
  • Dependent Packages: 12
  • Dependent Repositories: 13
  • Downloads: 11,052 Last month
  • Docker Downloads: 43,447
Rankings
Dependent packages count: 5.0%
Forks count: 5.8%
Downloads: 7.1%
Dependent repos count: 8.0%
Average: 10.5%
Stargazers count: 11.8%
Docker downloads count: 25.1%
Last synced: 6 months ago
conda-forge.org: r-netmeta
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent repos count: 34.0%
Forks count: 42.2%
Average: 44.4%
Stargazers count: 50.2%
Dependent packages count: 51.2%
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 4.0.0 depends
  • meta >= 5.5 depends
  • MASS * imports
  • ggplot2 >= 3.0.0 imports
  • magic * imports
  • metafor * imports
  • colorspace * suggests
  • grid * suggests
  • gridExtra * suggests
  • hasseDiagram >= 0.1.3 suggests
  • igraph >= 1.0.1 suggests
  • mvtnorm * suggests
  • rgl * suggests
  • tictoc * suggests
  • writexl * suggests