What is the difference between generalized estimating equations and …
The following CV questions also discuss this material: Difference between generalized linear models & generalized linear mixed models in SPSS; When to use generalized estimating equations vs. mixed …
Difference between generalized linear models ... - Cross Validated
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 …
Visualizing glmm predictions: confidence intervals from ggpredict
May 22, 2025 · I'd like to create a graph for my paper that visualizes my binomial glmm, ideally with confidence intervals. However, my CIs using ggpredict came out a bit funky. Here is some example …
Diagnostics for generalized linear (mixed) models (specifically ...
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. PQL if appropriate). …
Should I use GLMM or GAM in my analysis? - Cross Validated
Apr 13, 2022 · If you want to model individual bears as random effects then you have a mixed model, potentially a GLMM (generalized linear mixed model). A GAM (generalized additive model) is one …
Non-normality in linear mixed models/GLMM - Cross Validated
A GLMM was considered but given that the outcome variable is dive depth there is no obvious distribution candidate for a GLMM. On thing to consider is whether the outcome is bounded.
Interpreting a generalised linear mixed model with binomial data
Jan 14, 2020 · The interpretation is the same as for a generalised linear model, except that the estimates of the fixed effects are conditional on the random effects. Since this is a linear mixed …
r - How to interpret GLMM results? - Cross Validated
Jul 24, 2020 · My question is related with my previous post Extract variance of the fixed effect in a glmm. However, in this case I change the model that the GLMM follow. It follows a log family and as there …
Understanding Interaction Term In GLMM - Cross Validated
Mar 17, 2023 · Hoping to get some clarification on my understanding of interaction terms in a GLM model I have produced. I have written the following model interactionmodel <- lme (ChangeTotal ~ …
Effect size in GLMM - Cross Validated
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, an estimate value, …