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LATENT GOLD 4.5 is a powerful latent class and finite mixture
program. Latent GOLD contains separate modules for estimating three
different model structures:
Latent Class Cluster models
Discrete Factor (DFactor) models
Latent Class Regression models
Full windows implementation - point and click
Interactive graphics provide new insights into data and powerful
model diagnostic capabilities
Flexible model structures can handle variables of different metrics
Automatic generation of sets of random starting values
Fast, efficient maximum likelihood and posterior mode estimation
based on EM and Newton Raphson algorithms
Use of Bayes constants to eliminate boundary solutions
Bivariate residual diagnostic for local dependencies