Re: [R] Obtaining a value of pie in a zero inflated model (fm-zinb2)

Are you referring to the zeroinfl() function in the countreg package? If so, I think predict(fm_zinb2, type = "zero", newdata = some.new.data) will give you pi for each combination of covariate values that you provide in some.new.data where pi is the probability to observe a zero from the point

Re: [R] Help request: Parsing docx files for key words and appending to a spreadsheet

Hi folks Thanks for your help and suggestions - very much appreciated. I now have some working code, using this file I uploaded for public access: https://docs.google.com/document/d/1QwuaWZk6tYlWQXJ3WLczxC8Cda6zVERk/edit?usp=sharing&ouid=103065135255080058813&rtpof=true&sd=true The small c

[R] Obtaining a value of pie in a zero inflated model (fm-zinb2)

I am running a zero inflated regression using the zeroinfl function similar to the model below: fm_zinb2 <- zeroinfl(art ~ . | ., data = bioChemists, dist = "poisson") summary(fm_zinb2) I have three questions: 1) How can I obtain a value for the parameter pie, which is the fraction of the p