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!

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