I've figured it out by repeatedly testing. It is to use a type='term'
statement, just as used in gam.
sorry to bother.
On 2/19/08, gallon li <[EMAIL PROTECTED]> wrote:
>
> Thanks a lot, Prof Lumley.
>
> Now I can fit a model like
>
> coxfit=coxpy((time,censor)~pspline(x1)+x2+x3)
>
> but I am not
Thanks a lot, Prof Lumley.
Now I can fit a model like
coxfit=coxpy((time,censor)~pspline(x1)+x2+x3)
but I am not sure how to extract the estimated function for x1 alone. I
tried to use predict function but couldn't find appropriate option to do
this.
if i only have one covariates, then the exam
On Mon, 18 Feb 2008, gallon li wrote:
> i am trying to fit a survival regression model (cox model or parametric
> model) in R by including the covariate effects as a function m(x) instead of
> just beta*x. is it possible to fit such a model? can someone recommend some
> reference? I searched but o
i am trying to fit a survival regression model (cox model or parametric
model) in R by including the covariate effects as a function m(x) instead of
just beta*x. is it possible to fit such a model? can someone recommend some
reference? I searched but only found a package called addreg where
the haz
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