What about kknn -- that was listed as having the triangular distribution?
On Sat, Sep 12, 2009 at 3:42 PM, Bryan <thespamho...@gmail.com> wrote: > Gabor, > > Thanks for your quick reply (on a weekend even!) I've looked through the > results of the search you recommended, and several related searches, and > don't see anything exceptionally helpful. Kernel regression is a relatively > new analysis for me; I apologize for needing a little more direction. > > I've understand that it is connected to local polynomial regression but I > can't seem to have any success from that direction either. At this point the > only package that is giving smoothed estimates as I would expect is ksmooth > - which doesn't include the appropriate distribution. > > Best, > Bryan > > > On Sat, Sep 12, 2009 at 1:55 PM, Gabor Grothendieck > <ggrothendi...@gmail.com> wrote: >> >> Try: >> >> RSiteSearch("kernel triangular") >> >> On Sat, Sep 12, 2009 at 1:51 PM, Bryan <thespamho...@gmail.com> wrote: >> > Hello, >> > >> > I am trying to get fitted/estimated values using kernel regression and a >> > triangular kernel. I have found packages that easily fit values from a >> > kernel regression (e.g. ksmooth) but do not have a triangular >> > distribution >> > option, and density estimators that have triangular distribution options >> > that I can't seem to use to produce estimated values (e.g. density). >> > Any >> > help is appreciated. >> > >> > Bryan >> > >> > [[alternative HTML version deleted]] >> > >> > ______________________________________________ >> > R-help@r-project.org mailing list >> > https://stat.ethz.ch/mailman/listinfo/r-help >> > PLEASE do read the posting guide >> > http://www.R-project.org/posting-guide.html >> > and provide commented, minimal, self-contained, reproducible code. >> > > > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.