[R] multivariate splines

[Spencer Graves]

      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
>
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