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Mixed (aka multilevel or hierarchical) models are linear models that include both fixed effects and random effects. They are used to model longitudinal or nested data.

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Increasing degrees of freedom with mixed models

I used the glmulti package in R to generate a linear model with interactions. The response variable has 21 observations, set against 5 input variables, one of which is a binary factor while the rest a …
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