Hello.
I am running spatial regression models using R. Although I mostly use ML (Maximum Likelihood) method, I learned the only way to compare SDEM (Spatial Durbin Error Model) and SDM (Spatial Durbin Model) is the Bayesian approach.
What would be the most effective R package to run Bayesian spatial models? The ultimate purpose is to compute posterior probabilities of SDEM and SDM to compare fitness of the models. I used spBreg_lag function. It does not allow me to compute direct and spillover effects for SDM. Moreover, I don't know how to obtain the posterior probability from there.
Thank you,
Hoon Oh