Browsing over the FDA book, I can not find any discussion of monotone
smoothing.
Andy
> From: Kjetil Halvorsen
>
> Hola!
>
> Experimenting a little, package fda seems very much under
> development,
> and help pages are definitely not finished.
> It would certainly help to read the book "functional data
> analysis" by
> the author of fda, which is in our library.
> On the other hand package mgcv is more mature, so it would
> seem easier
> to use that.
>
> It is not totally automatic, but the example
> library(mgcv)
> example(mono.con)
>
> has everything necessary to get started.
>
> Kjetil Halvorsen
>
> Eliyahu-Oron wrote:
>
> >Kjetil and Andy,
> >
> >Thanks for your helpful answers! The first two (mgcv and
> fda) seem to be in
> >the direction I'm looking for. I downloaded them both.
> >
> >I'm running into a lot of implementation difficulties,
> though. I wonder if
> >there's anyone who tried to do a monotone spline using
> either the 'mgcv' or
> >the 'fda' packages, whom I could ask directly?
> >
> >Thanks again, Assaf
> >
> >-----Original Message-----
> >From: Kjetil Halvorsen [mailto:kjetil at acelerate.com]
> >Sent: Monday, July 12, 2004 4:32 PM
> >To: Assaf P Oron
> >Cc: R-help at stat.math.ethz.ch
> >Subject: Re: [R] Smooth monotone estimation on R
> >
> >
> >help.search()
> >on my machine turns up only:
> >
> >mono.con(mgcv) Monotonicity constraints for a cubic
> > regression spline.
> >
> >smooth.monotone(fda) Monotone Smoothing of Data
> >pmreg(ftnonpar) Piecewise monotone regression with taut
> > strings
> >backSpline(splines) Monotone Inverse Spline
> >isoreg(stats) Isotonic / Monotone Regression
> >
> >so you should find something of use in packages mgvc, fda,
> ftnonpar, splines
> >or stats (.loaded by default)
> >
> >Kjetil Halvorsen
> >
> >
> >Assaf P Oron wrote:
> >
> >
> >
> >>Hi all,
> >>
> >>I'm looking for smooth monotone estimation packages,
> preferably using
> >>
> >>
> >splines.
> >
> >
> >>I downloaded the 'cobs' package and intend to use it, but
> since it offers
> >>
> >>
> >only quadratic splines based on L1 minimization, I'd like to
> compare its
> >performance to that of a more 'mainstream' cubic-spline,
> L2-norm minimizing
> >spline. Preferably a smoothing spline.
> >
> >
> >>Does anyone know of such code existing anywhere? Or another
> smooth monotone
> >>
> >>
> >alternative?
> >
> >
> >>Thanks in advance,
> >>
> >>Assaf Oron
> >>Statistics Department
> >>University of Washington
> >>
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