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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.

1 vote
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Help for possible nested mixed effect model

I'm super new to mixed effect models and I wanted to make sure I was interpreting R code correctly. I'm using the "lmer" function in the "lme4" R package to do my analyses. I'm interested in physiolo …
ecophys_student's user avatar
2 votes

significance of slope (different than zero) in triple interaction (with factors) for mixed m...

Following @Guillaume A2, you can also just nest the emtrends() function within the summary() and test() call to accomplish everything in one line. As an example: summary(test(emtrends(mod, ~syst|timin …
ecophys_student's user avatar