Hello, possibly it is a stupid question but after few hours of trying and searching, perhaps I used the wrong key words, I decided to post it.
I have the output of a glm() of count data (poisson). I would like to get the prediction error (cross-validation). cv.glm() does not work with poisson error family data. Or I have to transform the output error pred. in some way. are there method especially for glm() with different error families to receive the model goodness / the model badness? thanks in advance, Martin ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
