Hello,
What approaches can be taken to diagnose issues related to optimization (i.e., when OpenMX status1 is not 0 or 1 even after using the rerun() function)? I have reviewed the status codes in the OpenMX documentation and I have tried mxCheckIdentification. I have also increased extraTries and I have played around with starting values for slope coefficients. However, I am running into issues and I am not sure why so I would like to see how I can diagnose what is going on.
For instance, I am conducting a SEM-based MA using Cohen's d as the effect size. I have three levels (using meta3) with 580 d's nested within 21 clusters. I am also including a continuous moderator with no missing values. Sometimes this model produces a a OpenMX status1: 0 after using the rerun() function and sometimes it produces OpenMX status1: 6 (it does not always arrive at the same status code, but the intercept and slope parameters are the same).
I am also running into issues with other models, so any general information you can offer in terms of diagnosing optimization issues, would be helpful.
Thank you for your time,
Kevin K.