I see. So for this particular dataset VA will always be 0. This will not always be the case for other datasets however. Implementing your suggestion to VA would remove the (inappropriate) warning, but it would also restrict the range of datasets that the model would work for.
I think at this point I’ll leave the warning there and just remember that it’s referring to VA, and the warning may magically disappear if you just report the free RV’s (see your new #2822)
I was perhaps thinking that VA and VB don’t need to be explicit nodes in the graph, so you should just inline the self.df() call into the P_chooseB line. But then I remembered, there are situations where you do actually want to sample from VA and VB.
So all in all, I think we’ve found a slight issue - but for my particular models, I’ll leave them as they are and see if the sampling and LOO warnings disappear if #2822 is resolved 