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I am trying to calculate bootstrap intervals for my beta coefficients in linear mixed effect models. I used the lme()function from the nlme package. My model looks like this

baseline <- lme(rt ~ condition*congruent*type, random= ~1 | id, data= dat, method= "ML")

My fixed effects are all two-level factors.

I know how to bootstrap but I am unsure about the random effects structure. Can anyone give me an example with lme() or suggest any article/internet page on how to do it?

Thanks a lot!

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