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DETECTING MULTIPLE RANDOM CHANGEPOINTS IN BAYESIAN PIECEWISE GROWTH MIXTURE MODELS
Piecewise growth mixture models (PGMM) are a flexible and useful class of methods for analyzing segmented trends in individual growth trajectory over time, where the individuals come from a mixture of two or more latent classes. These models allow each segment of the overall developmental process wi...
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| Publicat a: | Psychometrika |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6019237/ https://ncbi.nlm.nih.gov/pubmed/29150814 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11336-017-9594-5 |
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