What is the best tool-box for model selection when working with nested count data?
Is AICc appropriate for comparing Poisson and negative binomial mixed models? Is there anything special to the residual analysis?
For example, I want to compare
pfitc_c = glmer(data=cc, tubes ~ status + (1|site/plant/flower), family = "poisson")
nb_c_disp = glmer(data=cc, tubes ~ status + (1|site/plant/flower), family = negative.binomial(theta = 1.012206))