I am rather new to R. I am trying to run a GLMM - binomial logit.
I have three independent variables (
x1, x2, x3) and a dependent variable (
y) - all numeric.
m <-glmer(y ~ x1:x2:x3 + (1 | participant), data=mydata, family=binomial)
- How can I check for the model's assumptions?
- Which model can be appropriate in case the assumptions are not met?
Your help is much appreciated!