metafor: Meta-Analysis Package for R

A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit equal-, fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat, bubble, and GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted. An introduction to the package can be found in Viechtbauer (2010) <doi:10.18637/jss.v036.i03>.

Package details

AuthorWolfgang Viechtbauer [aut, cre] (<https://orcid.org/0000-0003-3463-4063>)
MaintainerWolfgang Viechtbauer <wvb@metafor-project.org>
LicenseGPL (>= 2)
Version3.4-0
URL https://www.metafor-project.org https://github.com/wviechtb/metafor https://wviechtb.github.io/metafor/ https://www.wvbauer.com
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("metafor")

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metafor documentation built on April 21, 2022, 5:10 p.m.