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Hi all- I fit a zero-inflated Poisson model to model bycatch rates using an offset term for effort. I need to apply the fitted model to a datasets of varying levels of effort to predict the associated levels of bycatch. I am seeking assistance as to the correct way to code this. Thanks in advance! Laura [[alternative HTML version deleted]]

Hello. I am using the zeroinfl package to fit a zero-inflated negative binomial. The explanatory variables are Year and Depth x STemp (interaction). I am in need of guidance for extracting the year effect and the associated precision. Thank you for your time. Cheers, Laura

Hi all! I have built a model to predict interactions with turtles and the model includes an offset for effort: ZIP<-zeroinfl(Sturgeon~fMesh+fSeason+offset(LogEffort),dist="poisson",link="logit",data=data) I wasn't clear about one aspect of the response to a similar question I recently posted...I apply the predicted model to a new dataset of standard conditions and

Dear all, I am using the zeroinfl() function from the pscl package to develop a zero-inflated Poisson GLM. I would like to calculate the standard errors of predicted values. I've tried code posted in a previous discussion on this topic (https://stat.ethz.ch/pipermail/r-help/2008-December/182806.html), and I don't understand the results. Before I apply this code, I get the predicted value