R help - Nov 2004 - Robust Poisson regression

Hola!

Anybody knows if there exists somewhere in R some implementation of 
robust Poisson regression,
where robust is taken in the sense as usen in rlm(MASS). I found 
something in the package
wle, but only for the Poisson distribution, not for regression.

For the moment I try to use linear models with the square-root 
transformation,
and rlm.

Kjetil

-- 

Kjetil Halvorsen.

Peace is the most effective weapon of mass construction.
               --  Mahdi Elmandjra

At 18:54 2004-11-02 -0400, you wrote:
>Anybody knows if there exists somewhere in R some implementation of robust 
>Poisson regression,
>where robust is taken in the sense as usen in rlm(MASS). I found something 
>in the package
>wle, but only for the Poisson distribution, not for regression.
Take a look at Eva Cantoni's "Analysis of robust quasi-deviances for 
generalized linear models" paper in JSS 10(4) 
(http://www.jstatsoft.org/v10/i04/).

The tar'ed file contains S-PLUS functions, and IIRC the modifications to 
make `glm.rob' run under R were quite simple. I can't find my modified 
version right now, but I remember making changes to lots of `assign' 
calls... I also remember having trouble with `integrate' calls in the 
`quasi.rob.xxx' functions, but since I didn't have to use these I never 
tried fixing it.

HTH,
Henric