A comprehensive collection of functions for conducting metaanalyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit fixed, random, and mixedeffects models to such data, carry out moderator and metaregression analyses, and create various types of metaanalytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat, GOSH plots). For metaanalyses of binomial and persontime data, the package also provides functions that implement specialized methods, including the MantelHaenszel method, Peto's method, and a variety of suitable generalized linear (mixedeffects) models (i.e., mixedeffects logistic and Poisson regression models). Finally, the package provides functionality for fitting metaanalytic multivariate/multilevel models that account for nonindependent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network metaanalyses and metaanalyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted.
Package details 


Maintainer  
License  GPL (>=2) 
Version  2.10 
URL  http://www.metaforproject.org https://github.com/wviechtb/metafor http://www.wvbauer.com 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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