Dear R-Users, I wonder what methods are available for modeling interaction of continuous variables. Specifically I am interested in fitting a regression y ~ f(w) * x where y, x are vectors and f(w) is a smooth function of a continuous parameter w (so it is f() that needs to be estimated). I can further assume that f(w) is positive but I can not take the logarithms as both y and x can be negative. Thanks, Vadim -------------------------------------------------- DISCLAIMER \ This e-mail, and any attachments thereto, is intend ... [[dropped]]
kjetil brinchmann halvorsen
2003-Feb-14 03:35 UTC
[R] modeling interaction of continuous vars
On 13 Feb 2003 at 15:03, Vadim Ogranovich wrote: I beleave this can be done with the mgcv package. library(mgcv) ?gam Kjetil Halvorsen> Dear R-Users, > > I wonder what methods are available for modeling interaction of continuous > variables. Specifically I am interested in fitting a regression > > y ~ f(w) * x > > where y, x are vectors and f(w) is a smooth function of a continuous > parameter w (so it is f() that needs to be estimated). I can further assume > that f(w) is positive but I can not take the logarithms as both y and x can > be negative. > > > Thanks, Vadim > > -------------------------------------------------- > DISCLAIMER \ This e-mail, and any attachments thereto, is intend ... [[dropped]] > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > http://www.stat.math.ethz.ch/mailman/listinfo/r-help