Ben Bolker writes:
This looks really useful. Base R is very conservative; despite the
fact that it would be much more easily adopted in base R, I think it
is much more likely to find a home in an add-on package such as aods3
or glm2 than in base R ...
Thanks for these suggestions Ben - Simon Wood has also been in touch,
and plans to put it into mgcv
David Fletcher
Original post:
I recently proposed a simple modification to Wedderburn's 1974 estimate
of overdispersion for count and binomial data, which is used in glm for
the quasipoisson and quasibinomial families (see the reference below).
The modification is very simple and would take at most a couple of lines
of code. The reference below gives details regarding its asymptotic
properties, as well as simulation results that illustrate the benefits
of using it for sparse data.
D.J. Fletcher (2012) Estimating overdispersion when fitting a
generalized linear model to sparse data. Biometrika 99:230?237
(http://biomet.oxfordjournals.org/content/99/1/230.abstract?etoc)
______________________________________________
R-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-devel
