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) ______________________________________________ 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