[R-sig-ME] robust linear mixed model

Geraci, Marco m.geraci at ucl.ac.uk
Tue Oct 9 12:12:12 CEST 2012

You might want to consider a median regression with random effects. See the lqmm package http://cran.r-project.org/web/packages/lqmm/index.html. You can extend the analysis to other quantiles as well.


Marco Geraci PhD CStat
Lecturer in Biostatistics
Institute of Child Health, University College London

-----Original Message-----
From: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-bounces at r-project.org] On Behalf Of Ahmad Rabiee
Sent: 09 October 2012 04:32
To: r-sig-mixed-models at r-project.org
Subject: [R-sig-ME] robust linear mixed model


 I have a dataset with some outliers or influential observations, and intend to do a mixed model regression. I am looking for procedures or   a package that can do "robust linear mixed model", to account for the outliers or influential observations or groups.
 There are similar functions for fixed models (rlm) in MASS package, but I haven't been able to find anything on mixed models.



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