[R] Negative Binomial Regression - glm.nb
Martin.Spindler at gmx.de
Thu Feb 28 08:27:12 CET 2013
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!
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