RoBMA 2.0.0 - 2.2.2

Features

• three-level meta-analysis by specifying study_ids argument in RoBMA. However, note that this is (1) an experimental feature and (2) the computational expense of fitting selection models with clustering is extreme. As of now, it is almost impossible to have more than 2-3 estimates clustered within a single study).

Changes

• message about the effect size scale of parameter estimates is always shown
• compatibility with BayesTools 0.2.0+

Fixes

• updating the C++ to compile on M1 Mac