Muthen & Muthen

The Mplus Base Program and Mixture Add-On contains all of the features of the Mplus Base Program.  In addition, it estimates models with categorical latent variables using latent classes. These models include regression mixture analysis, complier-average causal effect estimation in randomized trials, latent class analysis, finite mixture modeling, structural equation mixture analysis, growth mixture modeling, latent transition analysis, and discrete-time survival mixture analysis.  Observed dependent variables can be continuous, censored, binary, ordered categorical (ordinal), unordered categorical (nominal), counts, or a combination of these variable types.  Other special features include single or multiple group analysis, missing data estimation, sampling or frequency weights, complex sample analysis including clustering and stratification, latent variable interactions and non-linear factor analysis using maximum likelihood, random slopes, individually-varying times of observation, non-linear parameter constraints, indirect effects, maximum likelihood estimation for all outcomes types, bootstrap standard errors and confidence intervals, automatic starting values with random starts, Monte Carlo simulation facilities, and a post-processing graphics module.