CRAN

metafor 2.1-0

Meta-Analysis Package for R

Released May 14, 2019 by Wolfgang Viechtbauer

Dependencies

Matrix 1.2-17 nlme 3.1-140

A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit 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, 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.

Source

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Release History

• 2.1-0
• 2.0-0
• 1.9-9
• 1.9-8
• 1.9-6
• 1.9-5
• 1.9-4
• 1.9-3
• 1.9-2
• 1.9-1
• 1.9-0
• 1.8-0
• 1.7-0
• 1.6-0
• 1.5-0
• 1.4-0
• 1.3-0
• 1.1-0
• 1.0-1
• 0.5-7
• 0.5-5
• 0.5-4
• 0.5-3
• 0.5-0