thanks for your answer! Just for clarification, would it be possible to treat lp__ (if I use target+= syntax so that all constant terms are still there) as a "pseudo log-likelihood"? The reason I am asking is that for my research, I need a way to compare models via Akaike Weights since it is a simple and fast method. I am aware that there are better model selection cirteria available, but since I need to monitor the models being compared after every new data point, the computation time needed for bridgesampling is probably too high.
Thanks for your help