A Review of Meta-Analysis Packages in R

Joshua R. Polanin, Emily A. Hennessy and Emily E. Tanner-Smith
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Joshua R. Polanin: Development Services Group, Inc.
Emily E. Tanner-Smith: Vanderbilt University

Journal of Educational and Behavioral Statistics, 2017, vol. 42, issue 2, 206-242

Abstract: Meta-analysis is a statistical technique that allows an analyst to synthesize effect sizes from multiple primary studies. To estimate meta-analysis models, the open-source statistical environment R is quickly becoming a popular choice. The meta-analytic community has contributed to this growth by developing numerous packages specific to meta-analysis. The purpose of this study is to locate all publicly available meta-analytic R packages. We located 63 packages via a comprehensive online search. To help elucidate these functionalities to the field, we describe each of the packages, recommend applications for researchers interested in using R for meta-analyses, provide a brief tutorial of two meta-analysis packages, and make suggestions for future meta-analytic R package creators.

Keywords: meta-analysis; effect size; statistical software; R (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:42:y:2017:i:2:p:206-242

DOI: 10.3102/1076998616674315

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