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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 …
Jonathan Bone's user avatar
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? …
Jonathan Bone's user avatar
5 votes
1 answer
3k views

Diagnostic plots for lmer

I am trying to produce a glmm using the lme4 package in R. …
Jonathan Bone's user avatar
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 …
Jonathan Bone's user avatar
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. …
Jonathan Bone's user avatar