The short answer is 'use mgcv unless you want compatibility with S or to use lo() terms'.
You can read about the main differences by library(mgcv) ?gam Note that both packages are lower-case, and case does matter. On Wed, 24 Oct 2007, Firas Ahmed wrote: > Hi all, > > I am a new R- user and I am going through the R-manuals, but I could not > find an answer for my question. > > I am confused about when to use the GAM package and when to use the MGCV > package?? > > My Model is a GAM model of continuous outcome and many non-linear continuous > predictors (using the "s" function) as well as categorical predictors. > > Thanks in advance for your help and time. > > > > Firas > > > > > [[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. > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ 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.
