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Conducting Meta-Analyses in<i>R</i>with the<b>metafor</b>Package

Journal of Statistical SoftwarePublished 1 January 2010Open access
Wolfgang Viechtbauer
Citations18,404
SJR quartileQ1
SJR score3.21
SNIP4.61
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TL;DR

The metafor package provides functions for conducting meta-analyses in R and includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these models.

Abstract

The metafor package provides functions for conducting meta-analyses in R. The package includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these models. Meta-regression analyses with continuous and categorical moderators can be conducted in this way. Functions for the Mantel-Haenszel and Peto's one-step method for meta-analyses of 2 x 2 table data are also available. Finally, the package provides various plot functions (for example, for forest, funnel, and radial plots) and functions for assessing the model fit, for obtaining case diagnostics, and for tests of publication bias.

Keywords

Computer ScienceDecision SciencesEnvironmental Science