Hi all. I hope I have my terminology right here... For a simple lm, one can add ³pointwise confidence bounds² to a fitted line using something like
>predict(results.lm, newdata = something, interval = "confidence") (I'm following DAAG page 154-155 for this) I would like to do the same thing for a glm of the logistic regression type, for instance, the example in MASS pg 190-192 (available in the help page for predict.glm). However, predict.glm does not have the same kind of features as "plain old" predict, i.e. One cannot specify interval = "confidence" >From what I've read, "pointwise confidence bounds" are computed from the SE's for each point. However, I don't see quite where to extract this information with a glm So, is there an existing function that does what I am describing for a glm, or can someone point me in the right direction to start writing my own? TIA as always, Bryan ************* Bryan Hanson Professor of Chemistry & Biochemistry DePauw University, Greencastle IN USA ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.