There is an extensive list of references given in ?gam, including an R-news article and Simon Woods's (gam's author) website. Would that not be the logical place to start?
-- Bert On Fri, Dec 9, 2011 at 7:05 AM, Ben quant <ccqu...@gmail.com> wrote: > Hello, > > I'd like to understand 'what' is predicting the response for library(mgcv) > gam? > > For example: > > library(mgcv) > fit <- gam(y~s(x),data=as.data.frame(l_yx),family=binomial) > xx <- seq(min(l_yx[,2]),max(l_yx[,2]),len=101) > plot(xx,predict(fit,data.frame(x=xx),type="response"),type="l") > > I want to see the generalized function(s) used to predict the response that > is plotted above. In other words, f(x) = {[what?]}. I'm new to gam and > relatively new to R. I did read ?gam, but I didn't see what I wanted. > > Thanks, > > Ben > > [[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. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ 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.