Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases). Please refer to Weber et al. (2021) for details on applying this package while Neuenschwander et al. (2010) and Schmidli et al. (2014) explain details on the methodology.
To get a quick overview over the package functionality, please refer
to the introductory vignettes. We recommend
starting with the Getting started with RBesT
(binary) vignette as a first read.
For a brief 15 minute introduction to using RBesT, have a look at
the ESMARConf 2023
tutoral.