I've been looking all around the webs but cant find a conclusive answer. I have count data for a longitudinal study where subjects were grouped into three treatment groups (A,B,C) and blocked by litter and starting weight category (high, med, low). I'd like to use a linear mixed model (
lme4 R package) to ask questions like: which factors are most indicative in differentiating each group of subjects?
I've only found examples using mixed models that use either a continuous response variable or a dichotic (0/1) response. In my case, my response is categorical with three groups. Is it possible to use mixed models (and more specifically
glmer()) with a categorical response of more than two outcomes? Do I simply specify a binomial family (probit or logit)?