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Generalized Linear Mixed (effects) Models are typically used for modeling non-independent non-normal data (eg, longitudinal binary data).
2
votes
0
answers
696
views
Overfitting in GLMM
I have fit a mixed model with lmer() and am left with 4 significant interaction terms.
There were found by removing the interaction term and comparing with the full model using anova(fm1, fm2). I ha …
4
votes
1
answer
21k
views
If using Glmm with Gamma distribution do i need to transform my data to be between 0 and 1?
When creating a Glmm with Gamma distribution do I need to transform my response variable data to be between 0 and 1? …
5
votes
1
answer
3k
views
Diagnostic plots for lmer
I am trying to produce a glmm using the lme4 package in R. …
3
votes
0
answers
480
views
Binary interaction terms using lmer
I am trying to create a model using the lmer function. The model will contain the continuous response term "Average.profit" and explanatory terms "Type", "OtherType," and "Game" all 3 of which are bin …
1
vote
1
answer
492
views
Missing values in GLMM
I am creating a GLMM based on a experiment where each subject has 2 repeats. In some instances though there is only data for one of a given subjects repeats for most there is data for both. …