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:
splines.Hi all,
I'm looking for smooth monotone estimation packages, preferably using
I downloaded the 'cobs' package and intend to use it, but since it offersonly 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 monotonealternative?
http://www.R-project.org/posting-guide.htmlThanks in advance,
Assaf Oron Statistics Department University of Washington
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______________________________________________ [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