[R] algorithmic method quantile regression
Roger Koenker
rkoenker at illinois.edu
Wed Oct 14 22:32:48 CEST 2015
Did you read item 1 in the quantreg FAQ()?
url: www.econ.uiuc.edu/~roger Roger Koenker
email rkoenker at uiuc.edu Department of Economics
vox: 217-333-4558 University of Illinois
fax: 217-244-6678 Urbana, IL 61801
> On Oct 14, 2015, at 2:56 PM, T.Riedle <tr206 at kent.ac.uk> wrote:
>
> Greetings R Community,
> I am trying to run a quantile regression using the quantreg package. My regression includes 7 independent variables with approx. 800 daily observations each. Thus, I think that the Barrodale and Roberts algorithm should do the trick. However, the Frisch-Newton after preprocessing returns different results and more significant coefficients than the br method. Which algorithmic method should I use now? Do the results mean that the Frisch-Newton after preprocessing dominates the br method?
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
More information about the R-help
mailing list