Hi, I am working with hurdle models in the pscl package to model zero inflated overdispersed count data and want to incorporate censored observations into the equation. 33% of the observed positive count data is right censored, i.e. subject lost to follow up during the duration of the study. Can this be accounted for in the hurdle() function?
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