Dear R-help,
I was recently wanting to use GEE with the negative binomial family. It
seems that this is lacking in the otherwise excellent implementations of
the GEE methodology ( packages: gee, yags, geepack).
I would have thought it a simple step to allow the creation of a family,
i.e providing the link function (log mu) and the variance function (mu +
mu^2/theta) , assuming theta is specified; and then to let the gee code
do the business in a similar fashion to glm.
However the gee codes all seem to rely a set of C routines with either the
normal, poisson, or binomial, hardwired in.
Does anyone have any suggestions for a way round this problem for the
future (I had to resort to using Stata), or maybe more realistically, how
much work it would take to build an extendible version of the gee
algorithm?
thanks Simon Bond.
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html