11 In the output of a GLMM, using a binary variable as response variable and continuous variables as explanatory variables [family = binomial (link="logit")], I obtain, for each variable, …

How does this differ (in terms of the conclusions I can draw and the meaning of the coefficients) from a GLM with mixed effects (GLMM) and logit link? More detail: The observations are …

10 There is an extensive discussion of this topic under the heading Why doesn’t lme4 display denominator degrees of freedom/p values? What other options do I have? on the GLMM FAQ …

The following CV questions also discuss this material: Difference between generalized linear models & generalized linear mixed models in SPSS; What is the difference between …

Fit the full GLMM. Insufficient computer memory o r too slow: reduce model complexity. If estimation succeeds on a subset of the data, try a more efficient estimation algorithm (e.g. …

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The gamma distribution can take on a pretty wide range of shapes, and given the link between the mean and the variance through its two parameters, it seems suited to dealing with …

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The following CV questions also discuss the relationship between GEE & GLiMMs: What is the difference between generalized estimating equations and GLMM; When to use generalized …

Dec 20, 2018 · I'm trying to fit a GLMM using the package glmmTMB in R. The model has a negative binomial distribution. The fixed effect "Treatment" has two levels (low or …