David Fletcher <dfletcher <at> maths.otago.ac.nz> writes: > > Dear All > > 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). >
[snip] > > 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. > [snip] > > 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) 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 ... cheers Ben Bolker ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
