# GLMM - binomial

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)

1. How can I check for the model's assumptions?
2. Which model can be appropriate in case the assumptions are not met?

• the outcome/response is binary. You said the variables including y are "all numeric"