Thank you Andy!

I went thru KernSmooth package but I don't see a way to use the fitted
function to do the "predict" part...


data=data.frame(z=z, x=x)

datanew=data.frame(z=z, x=x)

lmfit=lm(z~x, data=data)

lmforecast=predict(lmfit, newdata=datanew)

Am I missing anything here?

Thanks!
2012/2/23 Liaw, Andy <andy_l...@merck.com>

> **
> In short, pick your poison...
>
> Is there any particular reason why the tools that shipped with R itself
> (e.g., kernSmooth) are inadequate for you?
>
> I like using the locfit package because it has many tools, including the
> ones that the author didn't think were optimal.  You may need the book to
> get most mileage out of it though.
>
> Andy
>
>  ------------------------------
> *From:* Michael [mailto:comtech....@gmail.com]
> *Sent:* Thursday, February 23, 2012 12:25 AM
> *To:* Liaw, Andy
> *Cc:* Bert Gunter; r-help
>
> *Subject:* Re: [R] Good and modern Kernel Regression package in R with
> auto-bandwidth?
>
>   Imeant its very slow when I use "cv.aic"...
>
> On Wed, Feb 22, 2012 at 11:24 PM, Michael <comtech....@gmail.com> wrote:
>
>> Is "np" an okay package to use?
>>
>> I am worried about the "multi-start" thing... and also it's very slow...
>>
>>
>> On Wed, Feb 22, 2012 at 8:35 PM, Liaw, Andy <andy_l...@merck.com> wrote:
>>
>>> Bert's question aside (I was going to ask about laundry, but that's much
>>> harder than taxes...), my understanding of the situation is that "optimal"
>>> is in the eye of the beholder.  There were at least two schools of thought
>>> on which is the better way of automatically selecting bandwidth, using
>>> plug-in methods or CV-type.  The last I check, the jury is still out.
>>>
>>> Andy
>>>
>>> > -----Original Message-----
>>> > From: r-help-boun...@r-project.org
>>> > [mailto:r-help-boun...@r-project.org] On Behalf Of Bert Gunter
>>> > Sent: Wednesday, February 22, 2012 6:03 PM
>>> > To: Michael
>>> > Cc: r-help
>>> > Subject: Re: [R] Good and modern Kernel Regression package in
>>> > R with auto-bandwidth?
>>> >
>>> > Would you like it to do your your taxes for you too? :-)
>>> >
>>> > Bert
>>> >
>>> > Sent from my iPhone -- please excuse typos.
>>> >
>>> > On Feb 22, 2012, at 11:46 AM, Michael <comtech....@gmail.com> wrote:
>>> >
>>> > > Hi all,
>>> > >
>>> > > I am looking for a good and modern Kernel Regression
>>> > package in R, which
>>> > > has the following features:
>>> > >
>>> > > 1) It has cross-validation
>>> > > 2) It can automatically choose the "optimal" bandwidth
>>> > > 3) It doesn't have random effect - i.e. if I run the
>>> > function at different
>>> > > times on the same data-set, the results should be exactly
>>> > the same... I am
>>> > > trying "np", but I am seeing:
>>> > >
>>> > > Multistart 1 of 1 |
>>> > > Multistart 1 of 1 |
>>> > > ...
>>> > >
>>> > > It looks like in order to do the optimization, it's doing
>>> > > multiple-random-start optimization... am I right?
>>> > >
>>> > >
>>> > > Could you please give me some pointers?
>>> > >
>>> > > I did some google search but there are so many packages
>>> > that do this... I
>>> > > just wanted to find the best/modern one to use...
>>> > >
>>> > > Thank you!
>>> > >
>>> > >    [[alternative HTML version deleted]]
>>> > >
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