dealing with the convergence status
Hi everyone, I am using lmer (and glmer) in a simulation study in order to find the best experimental design. Using gaussian deviates I simulate a population and I analyse the data with a mixed model. I repeat these operations many times (about 5000 replicates) in order to derive trends and distributions of parameters. My problem is that I sometimes run into false convergences. I have a warning message but that's all. "Il y a eu 50 avis ou plus (utilisez warnings() pour voir les 50 premiers)" Is there a way to obtain the convergence status of the lmer/glmer models in a tractable way so that I do not account for this replicate in case of false convergence ? Given the large number of replicates, I do not run the program interactively. I hope I made it clear. Many thanks.
Cordialement, Herv? CHAPUIS