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Segawa, Eisuke; Emery, Sherry; Curry, Susan J. – Journal of Educational and Behavioral Statistics, 2008
The generalized linear latent and mixed modeling (GLLAMM framework) includes many models such as hierarchical and structural equation models. However, GLLAMM cannot currently accommodate some models because it does not allow some parameters to be random. GLLAMM is extended to overcome the limitation by adding a submodel that specifies a…
Descriptors: Causal Models, Bayesian Statistics, Computer Software, Smoking