This is getting to be a faq -- here is a prior answer:
> No, but the objective function can be computed for any fitted
> rq object, say f, as
>
> rho <- function(u,tau=.5)u*(tau - (u < 0))
> V <- sum(rho(f$resid, f$tau))
>
> so it is easy to roll your own....
I don't much like R1, or R2 for that matter, so it isn't likely to
be automatically provided in quantreg any time soon.
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 Champaign, IL 61820
On Aug 1, 2006, at 11:46 AM, ricardosilva at serasa.com.br wrote:
> Dear R Users,
>
> Did someone implemented the R1 (Pseudo R-2) and likelihood ratio
> statistics for quantile regressions, which are some of the inference
> procedures for quantile regression
> found in Koenker and Machado (1999)?
> I tried the Ox version, but my dataset is too large (> 50.000) and the
> algorith breaks.
> ________________________________________
> Ricardo Gon?alves Silva, M. Sc.
> Apoio aos Processos de Modelagem Matem?tica
> Econometria & Inadimpl?ncia
> Serasa S.A.
> (11) - 6847-8889
> ricardosilva at serasa.com.br
>
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