Mixture AddOn
What's New In Version 3
Mixture Modeling
Improved and simplified analysis

Random starts
Automatic starting values for thresholds and intercepts
Simplified input
New growth language

New types of outcomes

Counts  Poisson and zeroinflated Poisson modeling
Censored  Censorednormal and censoredinflated normal modeling
Nominal  unordered polytomous (multinomial) modeling

Multiple categorical latent variables

Loglinear modeling, loglinear latent class modeling
Latent transition analysis, hidden Markov modeling, including mixtures and covariates
Multiple group analysis using known class

Latent class analysis with random effects

Conditional dependence
Discretetime survival mixture frailty analysis
Factor mixture modeling with categorical outcomes

Prediction of categorical latent variables

Observed dependent variables predicting latent classes
Factors predicting latent classes
Twin latent class analysis with ACE factors

Growth mixture modeling with categorical, counts, or censorednormal outcomes and withinclass random effect variances
