A wide variety of SEM models can be fit with OpenMx. A few of the more popular models that are in current use include: confirmatory factor analysis, multivariate autoregression with cross–lags, latent growth curves, latent mediation, multivariate mixed e ects, multigroup models with constraints, behavioral genetic and genetic epidemiological models, multivariate ordinal models with threshold estimation, factor mixture models, latent differential equations, latent class models. All of these models can be (and sometimes must be) run using full information maximum likelihood estimation.
