[R] What does ksmooth() do that NadarayaWatsonkernel() does not?

tsonkernel() But these are not the same as ksmooth() $B!D(B but still ksmooth() seems to result in better fit so I would like To know what it does to achieve this better fit? Best regards Jesper Hybel Pedersen [[alternative HTML version deleted]] __

[R] stabilitytest dse package

451762 #>[2,] -6.3785096 6.3785096 #>The system is stable. #>[1] TRUE #>attr(,"roots") #> Inverse of distinct roots of det(A(L))moduli #>[1,] 0.9567764 0.9567764 #>[2,] -0.1567764 0.1567764

Re: [R] Application of results from smooth.spline outside R

Hi Jean, Thanks for the reply.. Using your suggestion, I end up in in the source code (Fortran 77 i believe). At first look, it seems a bit more tedious to implement than I expected. -- View this message in context: http://r.789695.n4.nabble.com/Application-of-results-from-smooth-spline-outsid

[R] Application of results from smooth.spline outside R

. I have looked at literature, but i cannot connect the output of the smooth.spline() to an actual spline model.. Has anyone tried it? Br Jesper -- View this message in context: http://r.789695.n4.nabble.com/Application-of-results-from-smooth-spline-outside-R-tp3767610p3767610.html Sent from th

[R] newton raphson

calcualted values. if anyone could help me or give me some tips i would deeply appriciate it thanks jesper [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the