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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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How to change variance-covariance matrix in mixed models?

I'm currently trying to do power calculation using SIMR package in R. To start off, I first created the following model which defines my study design with simulated output y: model1 <- glmer(y ~ (a*b …
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