Package

r-metafor

Description

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>.

Note