Message-ID: <x2u1ao3frl.fsf@biostat.ku.dk>
Date: 2003-06-17T14:56:42Z
From: Peter Dalgaard
Subject: kernel smoothing for ordinal data
In-Reply-To: <16439.1055860648@www9.gmx.net>
Meike Gebel <meike.gebel at gmx.de> writes:
> Hi there,
> during my work I have to use kernel smoothing methods for multivariate
> ordinal data.
> The R-package "KernSmooth" unfortunately includes only a version for
> continous scaled variables.
> Does anybody know whether there exists also a version for ordinal data?
> Thanks for help!
Er, do you have a reference for what such a beast should be doing?
Kernel smoothing methods generally rely quite heavily on having a
continuous distribution (for density estimates) or having a continuous
x distribution and something on the y axis that allows taking weighted
avereages (for nonparametric regression type problems).
--
O__ ---- Peter Dalgaard Blegdamsvej 3
c/ /'_ --- Dept. of Biostatistics 2200 Cph. N
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907