I'm not certain, but I think you should be able to use the robcov function in the Design package in conjunction with glm.nb, perhaps with a bit of tweaking. Another alternative might be to use the quasi family in lmer.
On 06/11/06, Lutz Ph. Breitling <[EMAIL PROTECTED]> wrote: > Dear All, > > I'm analysing a negative binomial dataset from a population-based > study. Many covariates were determined on household level, so all > members of a household have the same value for those covariates. > > In STATA, there seems to be an option for 'clustered analysis' for > neg-bin regression. Does an equivalent exist for R(MASS)'s glm.nb or a > comparable function? > > Many thanks for all help! > Lutz > -- > Lutz Ph. Breitling, Marie Curie EST Research Fellow > Integrative & Comparative Biology (Irene Manton 8.93e) > University of Leeds, LS2 9JT Leeds/UK > > ______________________________________________ > 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 > and provide commented, minimal, self-contained, reproducible code. > -- ================================= David Barron Said Business School University of Oxford Park End Street Oxford OX1 1HP ______________________________________________ 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 and provide commented, minimal, self-contained, reproducible code.