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]] > > > > > > ______________________________________________ > > > 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. > > > Notice: This e-mail message, together with any attach...{{dropped:16}} ______________________________________________ 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.
