Dear all,

I would like to ask, if there is a way to make the variance / dispersion 
parameter $\theta$ (referring to MASS, 4th edition, p. 206) in the function 
glm.nb dependent on the data, e.g. $1/ \theta = exp(x \beta)$ and to estimate 
the parameter vector $\beta$ additionally.

If this is not possible with glm.nb, is there another function / package which 
might do that?

Thank you very much for your answer in advance!

Best,

Martin

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