PROTECTED]
Sent: Monday, November 14, 2005 12:41 PM
To: Vermeiren, Hans [VRCBE]
Cc: 'r-help@stat.math.ethz.ch'; [EMAIL PROTECTED]
Subject: Re: [R] Robust Non-linear Regression
Package 'sfsmisc' has had a function 'rnls()' for a while
which does robust non-linear regression via M-estimation.
Since
Package 'sfsmisc' has had a function 'rnls()' for a while
which does robust non-linear regression via M-estimation.
[The name of the function is probably *really* a misnomer,
since the 'ls' part stands for least squares!]
Two weeks ago, there's been a small workshop
Robustness and R in
-Original Message-
From: [EMAIL PROTECTED] [SMTP:[EMAIL PROTECTED] On Behalf Of Vermeiren, Hans
[VRCBE]
Sent: Sunday, November 13, 2005 7:48 PM
To: 'r-help@stat.math.ethz.ch'
Subject: [R] Robust Non-linear Regression
Hi,
I'm trying to use Robust non-linear regression
Hi,
I'm trying to use Robust non-linear regression to fit dose response curves.
Maybe I didnt look good enough, but I dind't find robust methods for NON
linear regression implemented in R. A method that looked good to me but is
unfortunately not (yet) implemented in R is described in
you might consider nlrq() in the quantreg package, which does median
regression for nonlinear response functions
url:www.econ.uiuc.edu/~rogerRoger Koenker
email [EMAIL PROTECTED] Department of Economics
vox:217-333-4558
