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July 30, 2014
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Mplus Website Updates

Mixture Add-On
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 zero-inflated Poisson modeling
    Censored - Censored-normal and censored-inflated 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
    Discrete-time 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 censored-normal outcomes and within-class random effect variances