Abstract Bayesian approaches play an important role in the development of new spatial econometric methods, but are uncommon applied work. This is partly due to a lack accessible, flexible software for estimation models. Established probabilistic struggles with specifics econometrics, while classical implementations do not harness flexibility modelling. In this paper, I present layered, objected...