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: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of lalitha viswanath Sent: Wednesday, February 28, 2007 10:04 AM To: [email protected] 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 ____________________________________________________________________________ ________ TV dinner still cooling? Check out "Tonight's Picks" on Yahoo! TV. ______________________________________________ [email protected] 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. ______________________________________________ [email protected] 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.
