[R] Triangular distribution for kernel regression

[Gabor Grothendieck]

You can specify the number of nearest neighbors.

On Sat, Sep 12, 2009 at 5:16 PM, Bryan <thespamhouse at gmail.com> wrote:
> I originally looked over kknn because I need to be able to specify a
> bandwidth parameter.  I am trying to replicate some previous non-R work in
> R, so I can't stray to far from the procedure used there.  In reading the
> paper referenced in the docs, I see that kknn can reduce to the
> Nadaraya–Watson estimator, which is where I need to be, but I'm not sure how
> to manipulate the bandwidth, as would be possible in other methods.  Can you
> clarify this at all?
>
> Bryan
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> On Sat, Sep 12, 2009 at 3:46 PM, Gabor Grothendieck
> <ggrothendieck at gmail.com> wrote:
>>
>> What about kknn -- that was listed as having the triangular distribution?
>>
>>
>> On Sat, Sep 12, 2009 at 3:42 PM, Bryan <thespamhouse at 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
>> > <ggrothendieck at gmail.com> wrote:
>> >>
>> >> Try:
>> >>
>> >> RSiteSearch("kernel triangular")
>> >>
>> >> On Sat, Sep 12, 2009 at 1:51 PM, Bryan <thespamhouse at 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 at 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.
>> >> >
>> >
>> >
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