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Generalized Linear Latent And Mixed Model (GLLAMM)

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Description: The gllamm software estimates generalized linear latent and mixed models by maximum likelihood using adaptive quadrature. Models include multilevel, factor, latent class and structural equation models.
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Page title:GLLAMM
Keywords:gllamm, gllamm6, generalized linear latent and mixed models, Stata program, multilevel models, random coefficient models, structural equation models, multilevel modelling, multilevel analysis, latent class models, empirical Bayes, mixture models, hierarchical models, generalized linear mixed models, simulation, IRT, item-response models, confirmatory factor analysis, latent variable models, Sophia Rabe-Hesketh, Anders Skrondal, Andrew Pickles, adaptive quadrature, NPML
Description:Stata program to fit generalized linear latent and mixed models (gllamm)
IP-address:66.76.6.2

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Creation Date: 2003-08-27T20:33:03Z
Expiry Date: 2014-08-27T20:33:03Z