Souds like a model with cross-classified random effects. Lme4 can handle this easily.
Shige On 1/3/06, Brian Perron <[EMAIL PROTECTED]> 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, > Brian > > > NIMH Training Fellow > GWB School of Social Work, PhD Program > Washington University in St. Louis > One Brookings Drive > St. Louis, MO 63130 > > [[alternative HTML version deleted]] > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > [[alternative HTML version deleted]] ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
