You say, "I have looked at a few spline packages in R, but didn't
find what I was looking for. Could somebody please point me in the
right direction?" It's difficult to comment without more information
on
what you've tried and why you thought it was not adequate. Please
provide commented, minimal, self-contained, reproducible code,
explaining very briefly what you've tried and why it did not seem
satisfactory (as suggested in the posting guide
"www.R-project.org/posting-guide.html"). In case you are not familiar
with 'RSiteSearch', I just tried RSiteSearch("multivariate
splines"):
It produced 45 hits, some of which might interest you.
Hope this helps.
Spencer Graves
p.s. I received permission from Paul Dierckx to build an R package
using the the software associated with his book, "Curve and Surface
Fitting with Splines" (Oxford University Press, 1993). However, I
haven't started on that project, partly because I'm not too familiar
with splines and partly for lack of time. Dierckx's software seems to
allow the fitting minimal splines, and I have not found a package in R
that supports that.
Tamas K Papp wrote:> Hi,
>
> I am looking for an R package that would calculate multivarite (mostly
> 2d and 3d, tensor) cubic interpolating splines, so that I could
> evaluate these splines (and their derivatives) at many points (unkown
> at the time of calculating the spline polynomials) repeatedly.
>
> To make things concrete, I have an array V with
>
> dim(V) = k
>
> and gridpoint vectors grid=list(...), length(grid[[i]])==k[i], and
> would like to get some representation of the spline convenient for
> subsequent calculations.
>
> I have looked at a few spline packages in R, but didn't find what I
> was looking for. Could somebody please point me in the right
> direction?
>
> Thanks,
>
> Tamas
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> 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, self-contained, reproducible code.
>