pscl的zeroinfl回归输出在“计数模型系数”下提供了一个系数列表，在“零通胀模型系数”下提供了一个系数列表。
鉴于有兴趣遵循z膨胀模型，计数模型系数的用途是什么？是否只是提供参考？
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pscl的zeroinfl回归输出在“计数模型系数”下提供了一个系数列表，在“零通胀模型系数”下提供了一个系数列表。
鉴于有兴趣遵循z膨胀模型，计数模型系数的用途是什么？是否只是提供参考？
Your zero inflated regression consists of two models. The zero part is usually a binomial part, such as a logit or probit model, and accounts the probability that Y is not zero. The count part is usually a model for count data (usually integers), such as a poisson or negative binomial model and only considers those observations that are not zero. When you compare the number of observations of both models, e.g. using
summary(fit), you will see the difference. In sum, your zero model calculates the probability that an observations is not zero, the count model fits a model on those observations that are not zero.This zero inflated regression is similar to a hurdle model. You can read more on this at Cross Validated: What is the difference between zero-inflated and hurdle models?. BTW that platform is actually better suited for this kind of merely statistical questions.