Robust mixed-effect linear regression with repeated measures

Thanks Ben, that's very useful -which I missed.
I did run it, and checked the coefficients. But will look at it more carefully and post the outputs. 
I just want to make sure if the "repeated measures" have been considered in the function to estimate the coefficients.

Ahmad


-----Original Message-----
From: Ben Bolker <bbolker at gmail.com> 
Sent: Thursday, 27 December 2018 3:23 PM
To: ahmadr215 at tpg.com.au
Cc: R SIG Mixed Models <r-sig-mixed-models at r-project.org>
Subject: Re: [R-sig-ME] Robust mixed-effect linear regression with repeated measures

 Looking at the docs, help(package="robustlmm") says:

The main workhorse is the function ?rlmer?; it is implemented as
     direct robust analogue of the popular ?lmer? function of the
     ?lme4? package. The two functions have similar abilities and
     limitations.

Based on that, even without digging more deeply, I would assume it would handle the case you're talking about.

Why not try it and ask again on the list if you have a more specific question?

  cheers
   Ben Bolker

Hi

I am looking for a package to perform "Robust mixed-effect linear 
regression with repeated measures".
I looked at robustlmm package, not sure if it handles the repeated 
measures over time- if I consider repeated observations (e.g. (1|id) 
as a random effects.

Your help is greatly appreciated!

Ahmad

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