Hi all, My data are binary and within-subject correlated; there are three factors of interest and two of them are within-subject. So, I have considered modelling the data using a binomial regression with a GEE approach (which can be achieved using the function geeglm). One problem is that I got some empty cells, so I can't simply use logit as a link function. I was wondering if you know any existing R solution for this?
also, I tired to use "cauchit" as the link function, but it turned out that within the function geeglm "cauchit" is not available. Any idea on this? Many thanks! Yue -- View this message in context: http://r.789695.n4.nabble.com/empty-cell-when-running-GEE-for-binary-data-tp4635483.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
