Well, I would first check the references given in the Help file!. That's what they're for, no? Hastie's book is likely to more complete on the algebra, I think.
You might also be interested in the relevant chapters of Friedman, Hastie, et. al "The Elements of Statistical Learning Theory," which might be a gentler exposition of the math. Of course, the code (or a suitable exposition of it, which may not exist) is the ultimate reference. -- Bert On Tue, Jul 31, 2012 at 6:25 AM, Ben Bolker <bbol...@gmail.com> wrote: > Nathaniel Smith <njs <at> pobox.com> writes: > >> I find myself needing to be able to reproduce the spline bases that R >> computes when using ns() and bs() -- but without using R. Before I go >> diving headfirst into the C code in >> ./src/library/splines/src/splines.c, are there any simpler references >> anyone might recommend? > > [snip] > > Some of this stuff *might* be in the "White Book" (Statistical > Models in S, ed Chambers & Hastie (esp. chapter 7?) > > Ben Bolker > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
