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Abstract:

© Cambridge University Press 2014. Preview of the Chapter. We start with a discussion of model families for multilevel data outside the Gaussian framework. We continue with generalized linear mixed models (GLMMs), which enable generalized linear modeling with multilevel data. The chapter includes highlights of estimation techniques for GLMMs in the frequentist as well as Bayesian context. We continue with a discussion of nonlinear mixed models (NLMMs). The chapter concludes with an extensive case study using a selection of R packages for GLMMs.