Class enumeration false positive in skew-t family of continuous growth mixture models

Growth Mixture Modeling (GMM) has gained great popularity in the last decades as a methodology for longitudinal data analysis. The usual assumption of normally distributed repeated measures has been shown as problematic in real-life data applications. Namely, performing normal GMM on data that is ev...

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Detalles Bibliográficos
Autores principales: Guerra-Peña, Kiero, García-Batista, Zoilo Emilio, Depaoli, Sarah, Garrido, Luis Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164627/
https://www.ncbi.nlm.nih.gov/pubmed/32302350
http://dx.doi.org/10.1371/journal.pone.0231525

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164627/
https://www.ncbi.nlm.nih.gov/pubmed/32302350
http://dx.doi.org/10.1371/journal.pone.0231525

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