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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