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?

Thanks, Tim

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