FIMIX algorithm not converging

[janschreier]

In my data set is sometimes happens that regardless of how large I set the maximum iterations (I stopped when 150000 was not sufficient), the maximum iterations is reached. When I ran the algorithm ten times, only one time I ended up with a hit on that maximum but this run was the run with the best values and thus presented to me. From the LnL Development report it all looks normal for the first few hundred iterations but then the delta starts to switch from negative to positive randomly.

Is this normal behavior that can happen with moderately correlated data? If necessary I can provide the final report.

Thanks for your help!
Jan

[jmbecker]

You should not use those results from a run that did not converge correctly. The process sometimes does that and jumps between two local optima. Usually those results are conceptually inferior to other converged solutions.

[janschreier]

Thank you for your help, Michael!

[janschreier]

Dear Jan,

sorry for reviving this thread. In my case the lnL-Values are often way better if I get stuck in a local optimum (e. g. lnL=8.000) compared to those cases where the algorithm converts as expected (e. g. lnL= -20.000). Would you still discard the local optimum solution?

Thanks for your help!
Jan