On Tue, 3 Jan 2006, Brian Perron wrote:
> Hello all:
>
> I am interested in computing what the multilevel modeling literature
> calls a multiple membership model. More specifically, I am working with
> a data set involving clients and providers. The clients are the
> lower-level units who are nested within providers (higher-level).
> However, this is not nesting in the usual sense, as clients can belong
> to multple providers, which I understand makes this a "multiple
> membership model." Right now, I would like to keep this simple, using
> only a continuous dependent variable, but would like to also extend this
> to a repeated measures design. This doesn't seem to be possible with
> the lme package. Is there something else I could consider? Thanks,
I think you want lmer() in the lme4 & Matrix packages. It allows crossed
random effects.
-thomas
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