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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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| izdano v: | Psychometrika |
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| Main Authors: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2017
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| Teme: | |
| Online dostop: | 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 |
| Oznake: |
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