[R] Cross-classified multilevel binary logistic regression model with random effects at level 2
David Winsemius
dwinsemius at comcast.net
Wed Sep 14 17:17:09 CEST 2016
> On Sep 14, 2016, at 6:05 AM, MACDOUGALL Margaret <Margaret.MacDougall at ed.ac.uk> wrote:
>
> Hello
>
> I am not a seasoned R user and am therefore keen to identify a book chapter that can provide structured advice on setting up the type of model I am interested in using R. I would like to run a cross-classified multilevel binary logistic regression model. The model contains two level 2 random effects variables. These variables are crossed to form a cross-classified design. The model has subjects at level one and these subjects are nested within each of the two level two variables. I understand that the R package lme4 may be suitable for running my model and that there are several published books on running mixed models in R. If a list member is able to kindly recommend whether one of these books is particularly helpful in helping less experienced R users fully understand how to use this (or an alternative) program specifically for the model I have outlined above, I would be most grateful for recommendations.
You would get the widest and most knowledgeable audience for this question at the MixedModels mailing list.
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
--
David Winsemius
Alameda, CA, USA
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