Meta-analysis using random forests, made easy

Meta-analyses have a reputation of being the highest standard of evidence for a scientific finding. However, especially in the social sciences, studies combined in meta-analyses often differ substantially from one another. This is problematic, because classic approaches to meta-analysis assume that either 1) all studies share a common true effect, or 2) that the true effect follows an underlying (normal) distribution, or 3) that any moderators which influence the underlying true effect are known and controlled for.