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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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Permutation testing with LME models
I need to compare two groups of participants to each other in a model that contains fixed and random effects in R. It was suggested to me that a non-parametric test might be ideal for these comparison …
1
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How to compute robust standard errors for a linear mixed effects model with two non-nested r...
I asked this question earlier this week but I hadn't really done my research yet or inquired into my error. So my data is heteroscedastic which has necessitated computation of robust standard errors t …
4
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answer
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Calculating variance of a dependent variable with multiple fixed effects
I am kind of a stats noob but I figure someone here may have some insight. I am running a linear mixed effects model in R, reminiscent of what's below:
model <- lmer(rating ~ group * cond1 * cond2 + …