R help - Nov 2003 - cross-validation with count-data

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

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
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help
>

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
> >
> > ______________________________________________
> > R-help at stat.math.ethz.ch mailing list
> > https://www.stat.math.ethz.ch/mailman/listinfo/r-help