[R] Packages in R for least median squares regression and computingoutliers (thompson tau technique etc.)

[Bert Gunter]

Packages MASS and robustbase both have this functionality. There may also be
others.

Bert Gunter
Genentech Nonclinical Statistics
South San Francisco, CA 94404
650-467-7374


-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of lalitha viswanath
Sent: Wednesday, February 28, 2007 10:04 AM
To: r-help at stat.math.ethz.ch
Subject: [R] Packages in R for least median squares regression and
computingoutliers (thompson tau technique etc.)

Hi
I am looking for suitable packages in R that do
regression analyses using least median squares method
(or better). Additionally, I am also looking for
packages that implement algorithms/methods for
detecting outliers that can be discarded before doing
the regression analyses.

Although some websites refer to "lms" method under
package "lps" in R, I am unable to find such a package
on CRAN.

I would greatly appreciate any pointers to suitable
functions/packages for doing the above analyses.

Thanks
Lalitha


 
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