Hi: Try the mlogit() function in package mlogit. It appears to handle random effects terms, but I don't know offhand if that includes hierarchical random effects. You can always try it out...
HTH, Dennis On Mon, Dec 27, 2010 at 2:43 PM, DHIMAN BHADRA <dhimanbha...@gmail.com>wrote: > Hello everyone, > > I want to fit a baseline category logit model (with 3-4 categories) with > nested random effects. > (For example, I have clusters(i) and households within clusters (j) > resulting in the nested > random effects structure : b_i +d_j(i)). Is there a R function/package > that > I can use ? Any help > will be much appreciated. > > Thanks and regards, > Dhiman Bhadra > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org 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. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org 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.
