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Performance of Model Fit and Selection Indices for Bayesian Piecewise Growth Modeling with Missing Data
Structural Equation Modeling: A Multidisciplinary Journal ( IF 6 ) Pub Date : 2023-11-02 , DOI: 10.1080/10705511.2023.2264514
Ihnwhi Heo 1 , Fan Jia 1 , Sarah Depaoli 1
Affiliation  

The Bayesian piecewise growth model (PGM) is a useful class of models for analyzing nonlinear change processes that consist of distinct growth phases. In applications of Bayesian PGMs, it is import...

中文翻译:

缺失数据贝叶斯分段增长建模的模型拟合和选择指数的性能

贝叶斯分段增长模型 (PGM) 是一类有用的模型,用于分析由不同增长阶段组成的非线性变化过程。在贝叶斯 PGM 的应用中,重要的是......
更新日期:2023-11-02
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