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ML Integration with Mixtures
Categorical Data Modeling
posted on Saturday, April 25, 2009 - 8:26 am
According to pages 482-483 of the manual, ML estimation with ordinal dependent variables requires Algorithm=Integration for Type=General, but does not require it for Type=Mixture.
1. Why is that?
2. Is it ok to use Type=Mixture with a single class, to fit models with ordinal dependent variables without using integration?
Linda K. Muthen
posted on Monday, April 27, 2009 - 10:10 am
There is a special path in mixture where random effects of continuous latent variables are not estimated and therefore numerical integration is not required. If a model requires numerical integration, it will require it using GENERAL or MIXTURE.
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