Minxolee
Cross validation is based on random splits of the data, hence
it can not be expected that the results are exactly identical.
If you want to do lasso, the glmnet package by the same authors
is a better choice.
- Niels
On 07/04/11 16.08, minxolee wrote:
I am trying to get familiar with the lars package and find out by repeating
the cv.lars() function, I am not getting the same result consistently. Could
someone help on that? Here is a simple reproducible example.
library(lars)
data(diabetes)
attach(diabetes)
cv.lars(x,y,K=2)
cv.lars(x,y,K=2)
The last two runs of cv.lars give out different cross-validation plots.
Thanks,
minxolee
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Niels Richard Hansen Web: www.math.ku.dk/~richard
Associate Professor Email: niels.r.han...@math.ku.dk
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