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...an/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. -- Simon Wood, School of Mathematics, University of Bristol BS8 1TW UK +44 (0)117 33 18273 http://www.maths.bris.ac.uk/~sw15190

I am fitting a model in which the response variable y is a function of two independent, quantitative variables x1 and x2; thus: y = f(x1, x2). For reasons I do not believe to be important for the purpose of this post, I find it desirable to find f by means of GAM; also, I require principal effects and interactions to be specified separately, so I am using using te and ti tensors. Thus, I am using

...he posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > > > -- > Simon Wood, School of Mathematics, University of Bristol BS8 1TW UK > +44 (0)117 33 18273 http://www.maths.bris.ac.uk/~sw15190 > > ______________________________________________ > R-help at 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,...

Dear all, I apologize as this may not be a strictly R question. I am running GAM models using the mgcv package. I was wondering if the interpretation of the smooth splines of the 'x' variable is the same in the following two cases: # Linear probability model m1 <- gam(count ~ factor(city) + factor(year) + s(x), data=data,na.action=na.omit) # Poisson m2 <- gam(count ~ factor(city)

Hello R users, I have a quick question I was hoping to get your input on. I am new to R and the smooth statistical regression world, and am trying to wrap my mind around the issues concerning using splines for mixed effect modeling. My question is the following: in the ?gamm? function, generalized additive mixed models can be estimated by including random components. These can be explicitly