The best reference I know for this is something I wrote with Jim
Ramsay and Giles Hooker: Functional Data Analysis with R and Matlab
(Springer, 2009). Others may have better material.
After "install.packages('fda')", I suggest you try
"system.file('scripts', package='fda')", as s
hm567 wrote:
>
> I am unsure about spar being the smoothness parameter, about where to put
> the standard errors of the points, and about the return of the
> smooth.spline function:
> Smoothing Parameter spar= 0.5 lambda= 0.006833112
>
> best regards,
>
Basically, the implementation base
Hello,
I come from a non statistics background, but R is available to me,
and I needed to test an implementation of smoothing spline that I have
written in c++, so I would like to match the results with R (for my unit
tests)
I am following
http://www.nabble.com/file/p25569553/SPLINES.PDF SPLINE
Hello, I come from a non statistics background, but R is available to me,
and I needed to test an implementation of smoothing spline that I have
written in c++, so I would like to match the results with R (for my unit
tests).
I am following Smoothing Splines, D.G. Pollock (available online)
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