Dear R-group,

Could somebody recommend a package that can deal with a multinomial response variable (choice of breeding tactic in mice, which has four unordered levels), multiply-imputed data (generated using the Amelia package) and two non-nested random effects: individual identity (133 individuals made up to four choices each) and year (for which there are six levels and sample size varies between years)?

I've tried sabreR, drm, mixcat and mlogit but none of them seem able to accommodate multiply-imputed datasets.  The most promising package I’ve found so far is Zelig, which can handle multiply-imputed data and either multinomial responses OR random effects (but seemingly not both).  I could randomly select one case per individual and run the following model (with year as a fixed rather than random effect):

z.out <- zelig(as.factor(tactic) ~ mass+age+year, model = "mlogit", data = a.out$imputations)

but it probably isn't the most elegant solution.  Does anybody have any suggestions?

Thanks in advance,
Davina

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Animal, Plant and Environmental Sciences
University of the Witwatersrand
South Africa

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