Dear all,
I'm using Latent Gold Choice to estimante a LC model. The model performs well when up to three classes are considered. However, when I try with four classes I got a message of no convergence ("estimation procedure did not converge, 25 gradients larger than 1.0E-3) and maximum number of iterations reached without convergence. Anybody knows the possible reasons? Mis-specification of the model? A large number of observations (in my case 250000 obs)? Something else?
Thank you
Thank you Amir for your reply.
I've already tried to increase the number of iteration without success, so I think the problem is related to the first point. Even if I don't have convergence, I obtain the value of the parameters and the measure of BIC and AIC. Are these results reliable? At the end it turns out that the lowest value of BIC and AIC are obtained with 6 classes (in which I don't have convergence). Do you suggest to use only the results of the 3 classes as the results of 6 classes are not reliable? Thank you
- Badges
- Science topic
- Similar topics
- Linguistics
- Composition Studies
- Publication