I have to apologize, my subject was misleading or wrong. thanks for pointing me to the correct name/description.
A goodness of fit measure for a Poisson GLM is what I am looking for. I am looking for a method similar to cv.glm(),to receive the estimate of prediction error. I will have a look at the references given below, thanks for them. Martin On Monday 24 November 2003 17:11, Thomas W Blackwell wrote: > Martin - > > Do you want a goodness of fit measure for a Poisson glm ? > > I would start py plotting the residuals and doing an > analysis of deviance on nested models. See McCullagh and > Nelder, as well as more recent references. > > - tom blackwell - u michigan medical school - ann arbor - > > On Fri, 21 Nov 2003, Martin Wegmann wrote: > > 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 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
