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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 manipulate crossed and nested random effects in nlme model

I've seen some older posts on this but I am really struggling. I am fitting nutrient data and my data is I think to large to dput for posting, I tried to sub sample the data for the purpose of posting …
frostygoat's user avatar