meta: General Package for Meta-Analysis
Official Git repository of R package meta
Author
Guido Schwarzer
Description
User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker, "Meta-Analysis with R" (2015):
- common effect and random effects meta-analysis;
- several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble);
- three-level meta-analysis model
- generalised linear mixed model;
- logistic regression with penalised likelihood for rare events;
- Hartung-Knapp method for random effects model;
- Kenward-Roger method for random effects model;
- cluster-robust variance estimators for univariate random effects and three-level models;
- prediction interval and density of the prediction distribution;
- expected proportion of comparable studies with clinically important benefit or harm;
- statistical tests for funnel plot asymmetry;
- trim-and-fill method to evaluate bias in meta-analysis;
- meta-regression;
- cumulative meta-analysis and leave-one-out meta-analysis;
- import data from 'RevMan Web' and 'RevMan 5';
- produce forest plot summarising several (subgroup) meta-analyses.
References
Schwarzer G, Carpenter JR and Rücker G (2015): Meta-Analysis with R (Use-R!). Springer International Publishing, Switzerland
Installation
Current official release:
install.packages("meta")
Current release on GitHub:
Installation using R package
remotes:
install.packages("remotes")
remotes::install_github("guido-s/meta", build_vignettes = TRUE)
or without the vignette
install.packages("meta", repos = c('https://guido-s.r-universe.dev', 'https://cloud.r-project.org'))
How to cite meta?
Balduzzi S, Rücker G, Schwarzer G (2019): How to perform a meta-analysis with R: a practical tutorial. Evidence-Based Mental Health, 22, 153-60
A BibTeX entry for LaTeX users is provided by
citation(package = "meta")
Bug Reports:
You can report bugs on GitHub under
Issues
or by using the R command
bug.report(package = "meta")
(which is not supported in RStudio).