[R] neg-bin clustered analysis in R?
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.
Re: [R] neg-bin clustered analysis in R?
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.
Re: [R] neg-bin clustered analysis in R?
The R-package glmmADMB (not on CRAN) can do negative binomial response with one level of Gaussian random effects. It also allows zero inflation. Download site: http://otter-rsch.com/admbre/examples/glmmadmb/glmmADMB.html Regards, hans 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 [[alternative HTML version deleted]] __ 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.
[R] neg-bin clustered analysis in R?
Lutz-- In addition to the previous suggestions, you might also have a look at the following paper: Kelvin K. W. Yau, Kui Wang and Andy H. Lee. Zero-Inflated Negative Binomial Mixed Regression Modeling of Over-Dispersed Count Data with Extra Zeros. Biometrical Journal 45 (2003) 4, 437–452 The authors have written R/Splus code (available from them). Although the article is focused on ZINB models with random-effects, the code will fit a NegBin with random-effects (if memory serves). Hope that helps. cheers, Dave -- Dave Atkins, PhD Assistant Professor in Clinical Psychology Fuller Graduate School of Psychology Email: [EMAIL PROTECTED] Phone: 626.584.5554 __ 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.
