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Questions - model-comparison

Comparing mixed models: singular fit for random effect group but only in some models. Should I drop RE group from all models or just where singular?

I am fitting several mixed models using the lmer function in the package lme4, each with the same fixed effects and random effects, but different response variables. The purpose of these models is to ...
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Oscar Clendon

r

lme4

random-effects

singular

model-comparison

Votes: 0

Answers: 2

Latest Answer

When the model converges to a singular fit, it indicates that the random structure is overfitted. Therefore I would argue that it does not make sense to compare these. I would also be concerned about ...
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Robert Long

Subsetting in Dredge (MuMln)- avoiding a three way interaction

I have a model with several main effects and several interactions. I want to avoid any models that would only include the 3 interaction terms. So basically all variations of main effects and main effe...
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Rebecca

r

variables

subset

linear-regression

model-comparison

Votes: 0

Answers: 1

Latest Answer

I have never used this functionality in dredge before (it's pretty great to know it exists). I think your issue lies in the use of the scale() functions in your formula. I don't think this is really n...
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Marc in the box

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