Hi,

Not exactly sure what you mean, but if you want to run a poisson regression
and then look at the coefficients, then this is what you need:

poisson.model <- glm(response ~ predictor, family = "poisson")

summary(poisson.model)

Will give you the intercept and slope. Since poisson regression uses a log
link to model data linearly, the coefficients are in the log scale.

Cheers,
Umesh

On Wed, Mar 25, 2009 at 4:20 AM, David Winsemius <dwinsemius@comcast.net>wrote:

> Consider: gls with family="poisson"
>
>
>
> On Mar 24, 2009, at 1:26 PM, Arafat Ud Zaman wrote:
>
>  Dear sir,
>> I want to know about R command for parameter estimation for generalized
>> Poisson regression.
>>
>> yours faithfully
>>
>> Arafat Ud Zaman
>> 4th year(Hons)
>> Applied statistics
>> University of Dhaka
>> Mob- +8801715173176
>> E-mail: arafat.zaman@yahoo.com
>>         azaman1@isrt.ac.bd
>>         azaman1@quantummethod.org.bd
>>
>>        [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> 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.
>>
>
> David Winsemius, MD
> Heritage Laboratories
> West Hartford, CT
>
>
> ______________________________________________
> 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.
>

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