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