Title: Bayesian random-effects meta-analysis using the bayesmeta R package,
Abstract: The random-effects or normal-normal hierarchical model is commonly utilized
in a wide range of meta-analysis applications. A Bayesian approach to inference
is very attractive in this context, especially when a meta-analysis is based
only on few studies. The bayesmeta R package provides readily accessible tools
to perform Bayesian meta-analyses and generate plots and summaries, without
having to worry about computational details. It allows for flexible prior
specification and instant access to the resulting posterior distributions,
including prediction and shrinkage estimation, and facilitating for example
quick sensitivity checks. The present paper introduces the underlying theory
and showcases its usage.