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.
