Regression Diagnostics in Generalized Linear Mixed Models

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by Kim Love, PhD

What are the best methods for checking a generalized linear mixed model (GLMM) for proper fit?

This question comes up frequently.

Unfortunately, it isn’t as straightforward as it is for a general linear model.

In linear models the requirements are easy to outline: linear in the parameters, normally distributed and independent residuals, and homogeneity of variance (that is, similar variance at all values of all predictors).

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