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Fitting Latent Variable Mixture Models
Latent variable mixture models (LVMMs) are models for multivariate observed data from a potentially heterogeneous population. The responses on the observed variables are thought to be driven by one or more latent continuous factors (e.g. severity of a disorder) and/or latent categorical variables (e...
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| Publié dans: | Behav Res Ther |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5776694/ https://ncbi.nlm.nih.gov/pubmed/28460845 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.brat.2017.04.003 |
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