On 02/28/2013 08:27 PM, Martin Spindler wrote:
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?
I believe that the VGAM package is designed precisely to do this sort of
thing.
cheers,
Rolf Turner
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