Zero-inflated mixed models
Dear all, Zero-inflated models have a count component (Poisson/Neg. Binomial) and a zero component (logistic regression part). glmmADMB supports the zero-inflation feature but only through estimating a zero-inflation parameter that is assumed constant across the whole data set?. 1. ?Why doesn't the glmmadmb support the two-stage fitting of zero-inflated models like it does with hurdle models? I once read that its estimation might be more complex than that of hurdle models. Is that true? If yes, why? 2. Is there an R package that allows for the two-model fitting (i.e., each model with its own covariates) of ZIP or ZINB (not hurdle) and allowing for a random effect? Many thanks, Z