heterogeneity while simultaneously adjusting for clustered effect size
estimates. While the current implementation allows us to draw a fully
Bayesian inference, incorporate prior information, and acknowledge model
uncertainty, it has a few limitations in contrast to the
<code>metafor</code> package. E.g., the <code>RoBMA</code> package only
allows a simple nested random effects (i.e., estimates within studies,
schools within districts etc). The simple nesting allows us to break the
full covariance matrix in