Bayesian multilevel models: nonlinear, joint, SEM-like, and more

You can fit breadth of Bayesian multilevel models with the new elegant random-effects syntax of the bayesmh command. You can fit univariate linear and nonlinear multilevel models more easily. And you can now fit multivariate linear and nonlinear multilevel models! Think of growth linear and nonlinear multilevel models, joint longitudinal and survival-time models, SEM-type models, and more.

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