Growth mixture modeling with non-normal distributions.

@article{Muthn2015GrowthMM,
  title={Growth mixture modeling with non-normal distributions.},
  author={Bengt O. Muth{\'e}n and Tihomir Asparouhov},
  journal={Statistics in medicine},
  year={2015},
  volume={34 6},
  pages={1041-58}
}
A limiting feature of previous work on growth mixture modeling is the assumption of normally distributed variables within each latent class. With strongly non-normal outcomes, this means that several latent classes are required to capture the observed variable distributions. Being able to relax the assumption of within-class normality has the advantage that a non-normal observed distribution does not necessitate using more than one class to fit the distribution. It is valuable to add parameters… CONTINUE READING