Please also provide the following information in addition to your question:
- Operating System: Windows 10 64 bit up-to-date
- rstanarm Version: 2.19.2
I have run a stan_jm model that runs forever and ends with multiple warnings about non-convergence, excessive tree depth, divergent transitions, etc., and I would like to be able to use shinystan to be able to figure out where the problem(s) is(are). The longitudinal part of the model runs with stan_nlmr runs without problems. There is no reason to think that the dependent variable is correlated with failure. Other models differing only in that the dependent variable is different run perfectly well with no warnings, and there is nothing pathological about the dependent variable in the pathological model. But when I try to run launch_shinystan() with the pathological model, I am told that shinystan doesn’t know how to handle a stan_jm object. Is there any way to extract something out of the stan_jm model that shinystan (and I) can use to figure out what is going wrong?
Thanks in advance for any help. Larry Hunsicker