Sue--
Check out the heavy package on CRAN, which implements the robust mixed-effects models that Andy mentioned. The package is relatively new and is still being developed, but worth a look.
cheers, Dave I believe Pinhiero et al published a paper in JCGS a few years back on the subject, modeling the random effects with t distributions. No software were publicly available, as far as I know. Andy From: S Ellison > Sent: Thursday, March 11, 2010 9:56 AM > To: r-help at r-project.org > Subject: [R] Robust estimation of variance components for a > nested design > > One of my colleagues has a data set from a two-level nested > design from > which we would like to estimate variance components. But we'd > like some > idea of what the inevitable outliers are doing, so we were looking for > something in R that uses robust (eg Huber) treatment and > returns robust > estimates of variance. > > Nothing in my collection of R robust estimation packages (robust, > robustbase and MASS being the obvious three) or on the Robust > task view > seems to cover this, though it's entirely possible I've missed > something. > > Any pointers (to R packages or literature) gratefully accepted. > > S Ellison > Lab of the Government Chemist, UK > -- Dave Atkins, PhD Research Associate Professor Department of Psychiatry and Behavioral Science University of Washington datk...@u.washington.edu Center for the Study of Health and Risk Behaviors (CSHRB) 1100 NE 45th Street, Suite 300 Seattle, WA 98105 206-616-3879 http://depts.washington.edu/cshrb/ (Mon-Wed) Center for Healthcare Improvement, for Addictions, Mental Illness, Medically Vulnerable Populations (CHAMMP) 325 9th Avenue, 2HH-15 Box 359911 Seattle, WA 98104? 206-897-4210 http://www.chammp.org (Thurs) ______________________________________________ R-help@r-project.org 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.
