April 20, 2024
| Mplus |
| Mplus at a Glance |
General Description |
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Mplus Programs |
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| Version History |
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Mplus Examples |
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| Using Mplus via R |
| Mplus plotting using R |
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Mixture Add-On
What's New In Version 3
Mixture Modeling
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Random starts
Automatic starting values for thresholds and intercepts Simplified input New growth language |
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Counts - Poisson and zero-inflated Poisson modeling
Censored - Censored-normal and censored-inflated normal modeling Nominal - unordered polytomous (multinomial) modeling |
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Loglinear modeling, loglinear latent class modeling
Latent transition analysis, hidden Markov modeling, including mixtures and covariates Multiple group analysis using known class |
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Conditional dependence
Discrete-time survival mixture frailty analysis Factor mixture modeling with categorical outcomes |
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Observed dependent variables predicting latent classes
Factors predicting latent classes Twin latent class analysis with ACE factors |