Hi,
I'm working with step.gam in gam package. I'm interested both in spline and
lowess functions and when I define all the models that I'm interested in I get
something like that:
gam.object.ALC-gam(X143S~ALC,data=dane,family=binomial)
step.gam is a tricky function to use correctly. You will need to consult
the original documentation (in Chambers Hastie ca 1992) or ask the
package author for help.
BTW, it uses loess not lowess.
On Wed, 12 Oct 2005 [EMAIL PROTECTED] wrote:
Hi,
I'm working with step.gam in gam package.
This is covered in the helpfile, but perhaps not clearly enough.
The gam chapter in the white book has more details.
step.gam moves around the terms in the scope aregumnet in an ordered
fashion.
So if a scope element is
~ 1 + x +s(x,4) + s(x,8)
and the formula at some stage is ~ x +
On Wed, 2004-12-01 at 17:09, David Nogués wrote:
Dear R-users:
Im trying (using gam package) to develop a stepwise analysis. My gam
object contains five pedictor variables (a,b,c,d,e,f). I define the
step.gam:
step.gam(gamobject, scope=list(a= ~s(a,4), b= ~s(b,4), c= ~s(c,4),
d=
Dave Roberts discusses R/S-plus (or mgcv/gam package level) gam fitting
in ecological context at
http://labdsv.nr.usu.edu/splus_R/lab5/lab5.html. You may find some
useful hints here, as Dave is partial to the traditional S-plus gam as
well.
This looks good to me, too. One or two things have
