I have a large model which currently has 30 parameters, and a few more to come. I set pretty tight constraints around all of them to help convergence. However, I am still having the model giving up after too many attempts
Initialization between (-2, 2) failed after 100 attempts.
Try specifying initial values, reducing ranges of constrained values, or reparameterizing the model.
I am not sure there is really any thing wrong with the model or the specifications. It’s just a large model, and I expect it will take some trial and errors to get it to converge. Is there a way I can get stan to make more attempts. Or does someone think this truly means something is wrong with the model?