> > > > When I fit a model like glm(gb~bs(age,df=6)), I obtain 7 estimates. Can > > anybody explain me where they stand for? > > Well, yes and no. They are coefficients of terms in the b-spline basis, > but that probably isn't very illuminating. > > You can use termplot() on your fitted model to see the smooth curve that > has been fitted and is specified by these estimates. The only splines > where you get simple interpretations of individual coefficients are > linear splines.
- if you use gam() from package mgcv and specify the "cr" basis then the coefficients are the height of the spline at the knots (this only works for smooths of one variable and "cr" is not the default basis). Simon _____________________________________________________________________ > Simon Wood [EMAIL PROTECTED] www.stats.gla.ac.uk/~simon/ >> Department of Statistics, University of Glasgow, Glasgow, G12 8QQ >>> Direct telephone: (0)141 330 4530 Fax: (0)141 330 4814 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
