Oh, I just realize that I can actually just use this: beta = coef(lassofit, s=5, mode="lambda")
Michael On Sun, Dec 5, 2010 at 8:10 PM, michael <tufemich...@gmail.com> wrote: > Hi, all, > > I am using the lars package for lasso estimate. So I get a lasso > fit first: > > lassofit = lars(x,y,type ="lasso",normalize=T, intercept=T) > Then I want to get coefficient with respect to a certain value of \lambda > (the tuning parameter), I know lars has three mode options c("step", > "fraction", "norm"), but can I use the \lambda value instead of the norm > which is the L1 norm of coefficients? > > Thanks, > > Michael > [[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.