Hi Tamas, I'm not familiar with R's splineDesign, so I'm not sure this helps, but you can get internal spline coefficients in Dierckx with `get_coeffs(spl)` where `spl` is a Spline1D object. Or look into the internals here: https://github.com/kbarbary/Dierckx.jl/blob/master/src/Dierckx.jl#L83 .
- Kyle On Sat, Apr 4, 2015 at 12:54 PM, Tamas Papp <tkp...@gmail.com> wrote: > I have looked at Dierckx.jl, but could not figure out how to evaluate > the B-spline basis (all the functions in the documentation appear to do > fitting directly). Can you please give me a hint? > > Thanks, > > Tamas > > On Sat, Apr 04 2015, pauld11718 <pauld11...@gmail.com> wrote: > > > https://github.com/kbarbary/Dierckx.jl > > > > https://docs.scipy.org/doc/scipy-0.15.1/reference/interpolate.html > > (use with PyCall) > > > > https://github.com/lgautier/Rif.jl > > (R and Julia Interfacing) > > > > On Sunday, April 5, 2015 at 12:57:28 AM UTC+5:30, Tamas Papp wrote: > >> > >> Hi, > >> > >> I am looking for a function (library) that allows evaluation of a > B-spline > >> basis (specified by the knots and the order), at given points, _and_ > >> also allows the evaluation of derivatives for the same family. R's > >> splineDesign in the splines package has this, but looking at the splines > >> libraries in Julia I could not find one that does B-splines and > >> derivatives. Using internals from some library would be fine, too. > >> > >> (Knowing that there is no such thing at the moment would also be useful, > >> I might implement it, but would prefer to avoid that because B-spline > >> special cases are tricky). > >> > >> Best, > >> > >> Tamas > >> > >
