Christos Giannoulis <cgiannoul <at> gmail.com> writes: > > Dear All, > > I was looking the r-archives and crantastic...for a package that has a > robust approach to generalized additive models. I found two packages > "robustgam" and "rgam" but their implemented functions > cover only binomial and poisson distributions (pls correct me if I am > wrong). > > I would greatly appreciate if anyone could share with us other packages or > robust approaches of general additive modeling that might have a better > performance with small data sets (n = 50 -100 records). > > Thank you very much all for reading this message. I am hoping and looking > forward to receiving your reply. > > Sincerely, > > Christos Giannoulis > > [[alternative HTML version deleted]] > >
Indeed, it seems that both the libraries do not allow normal data. I think you could try to use the code in this page (http://www.stat.ubc.ca/~matias/penalised/) for S-estimation. If you want the code for the Croux et al paper (http://onlinelibrary.wiley.com/doi/10.1111/j.1541-0420.2011.01630.x/full) just email me (ilapro + ceh.ac.uk) - it seems to be not available online anymore. This also allow normal data. Best Ilaria ______________________________________________ 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.
