Is the data you will use to fit the approximation located on a regular grid?
(If so you could use a 1D version repeatedly...)
You might also have a look at package gss on CRAN.
Reid Huntsinger
-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Tamas K Papp
Sent: Thursday, September 22, 2005 9:33 AM
To: R-help mailing list
Subject: [R] multidimensional (smoothing) splines
Hi,
I am approximation a value function (in dynamic programming) V:
R^n->R. In different versions of the problem, n is between 2 and 5.
I would like to use splines to use this, I checked the mailing list
and CRAN but couldn't find anything that would help me (Tps in fields
is too slow, cobs would be really nice but seems to be
one-dimensional). Is there any package that would at least give me
the basis for multidimensional b-splines? Or even one that would do
the fitting, perhaps even with constaints on derivatives at the edges
(which I can specify from theory)?
Thank you,
Tamas
--
Bayesian statistics is difficult in the sense that thinking is difficult.
--Donald A. Berry, American Statistician 51:242 (1997)
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