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 …
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. …
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.
r - How to interpret GLMM results? - Cross Validated
Jul 24, 2020 · How to interpret GLMM results? Ask Question Asked 5 years, 4 months ago Modified 5 years, 3 months ago
Generalized linear mixed models: model selection
mixed-model model-selection aic glmm stepwise-regression Cite Improve this question asked Oct 31, 2013 at 8:48
What is the difference between generalized estimating equations …
The following CV questions also discuss this material: Difference between generalized linear models & generalized linear mixed models in SPSS; When to use generalized estimating …
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 …
r - Should I use a linear mixed model or a ... - Cross Validated
Jun 18, 2019 · I have a test dataset with repeated measures, different individuals sampled at different time points, here measured in days. I want to know if I should use a GLMM or a LMM …
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 generalized …
glmm - Interaction using generalized linear mixed model - Cross …
Sep 8, 2020 · I am conducting a GLMM. I currently have two independent variables (𝑥1, 𝑥2) and a dependent variable (𝑦) - all factors (either 0 or 1). m <- glmer (y ~ x1+x2+x1:x2 + (1 | …