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In frequentist hypothesis testing, the $p$-value is the probability of a result as extreme (or more) than the observed result, under the assumption that the null hypothesis is true.
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Obtaining p-values in a robustlmm mixed model via Satterthwaite-approximated DFs of the equi...
I'm going to answer that myself in case that others may be interested at some point. In the end I did follow the approach mentioned above. The code would look like this:
library(lme4)
library(robustlm …
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Obtaining p-values in a robustlmm mixed model via Satterthwaite-approximated DFs of the equi...
I've used lme4 to fit a mixed model and could obtain p-values by using the lmerTest or afex packages. However due to heteroskedasticity (Levene Test) I also fit a robust model (rlmer command in the ro …