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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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書目詳細資料
發表在:Behav Res Ther
Main Authors: Lubke, Gitta H, Luningham, Justin
格式: Artigo
語言:Inglês
出版: 2017
主題:
在線閱讀: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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