Ilaria Prosdocimi <ilapro <at> ceh.ac.uk> writes: > > 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 > >
For information - in case somebody finds this post again in the future, the original files have now been restored in the KULeuven website at this address http://wis.kuleuven.be/stat/stat-inferen/codes I have also packaged the code in a R package which can be accessed on GitHub (and installed with devtools::install_github) at https://github.com/ilapros/DoubleRobGam Best Ilaria ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
