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:[EMAIL PROTECTED] > >Sent: Monday, July 12, 2004 4:32 PM > >To: Assaf P Oron > >Cc: [EMAIL PROTECTED] > >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 > >> > >>______________________________________________ > >>[EMAIL PROTECTED] mailing list > >>https://www.stat.math.ethz.ch/mailman/listinfo/r-help > >>PLEASE do read the posting guide! > >> > >> > >http://www.R-project.org/posting-guide.html > > > > > >> > >> > >> > >> > > > >______________________________________________ > >[EMAIL PROTECTED] mailing list > >https://www.stat.math.ethz.ch/mailman/listinfo/r-help > >PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > > > > > > > > > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html