[R-sig-ME] glmm with a tweedie distribution

[Zhang,Yanwei]

One problem with the "glmmPQL" is that the variance function can not be estimated - you need to pre-specify it in an ad hoc way. The "cpglmm" function in the "cplm" package estimates it directly from the data along with other parameters using MLE. But of course, you can use glmmPQL to generate starting values that are fed to cpglmm.   

Regards, 
Wayne 

-----Original Message-----
From: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-bounces at r-project.org] On Behalf Of Bill Pikounis
Sent: Monday, March 19, 2012 4:56 PM
To: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] glmm with a tweedie distribution

Bryan,
You might also wish to try the glmmPQL function in Venables and
Ripley's MASS package. Someone reported success with it on the SIG-ECO
R list nearly a year ago:

https://stat.ethz.ch/pipermail/r-sig-ecology/2011-May/002158.html

Hope that helps.

Bill

On Mon, Mar 19, 2012 at 17:18, Ben Bolker <bbolker at gmail.com> wrote:
> Danson, Bryan <Bryan.Danson at ...> writes:
>
>>
>> Is there a way to run a GLMM with a tweedie distribution?
>>
>
>  Yes, using the 'cplm' package.  I expanded the section on
> ZIGLMMs on http://glmm.wikidot.com/faq to include a bit more
> stuff on ZIGLMMs, including a bit on ZIGLMMs with a continuous
> response for the non-zero data.
>
>  Ben
>
> _______________________________________________
> R-sig-mixed-models at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

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