ERIC Number: EJ1133498
Record Type: Journal
Publication Date: 2017-Apr
Abstractor: As Provided
A Review of Meta-Analysis Packages in R
Polanin, Joshua R.; Hennessy, Emily A.; Tanner-Smith, Emily E.
Journal of Educational and Behavioral Statistics, v42 n2 p206-242 Apr 2017
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.
Descriptors: Meta Analysis, Open Source Technology, Computer Software, Effect Size, Computer Oriented Programs, Multivariate Analysis, Diagnostic Tests, Accuracy, Network Analysis, Bayesian Statistics, Statistical Bias
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: N/A
IES Funded: Yes
Grant or Contract Numbers: R305B100016