meta: General Package for Meta-Analysis

Official Git repository of R package meta

Guido Schwarzer

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.

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

install.packages("meta")

Installation using R package remotes:

install.packages("remotes")
remotes::install_github("guido-s/meta", build_vignettes = TRUE)

or without the vignette

remotes::install_github("guido-s/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")

You can report bugs on GitHub under Issues

or by using the R command

bug.report(package = "meta")

(which is not supported in RStudio).