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A generalization of linear regression allowing for nonlinear relationships via a "link function" and for the variance of the response to depend on the predicted value. (Not to be confused with "general linear model" which extends the ordinary linear model to general covariance structure and multivariate response.)

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Assigning 'site' and 'time' as fixed or random factors in a generalized linear mixed model (...

I want to explore the relationship between the abundance of an organism and several possible explanatory factors. I have doubts regarding what variables should be called as fixed or random in the GLMM …
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