You can use the gamm function (in the mgcv package) to fit generalized additive mixed models and specify your covariance structure.
Julian gallon li wrote: > I used gam for data analysis a lot. Is it possible to use gam to analyze > longitudinal data? I mean, besides the working independence assumption, can > i specify other more reasonable covariance structure in gam? > > [[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. ______________________________________________ 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.
