metafor - Meta-Analysis Package for R
A comprehensive collection of functions for conducting
meta-analyses in R. The package includes functions to calculate
various effect sizes or outcome measures, fit equal-, 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, bubble, and 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. An
introduction to the package can be found in Viechtbauer (2010)
<doi:10.18637/jss.v036.i03>.
