[R] Cross-classified multilevel binary logistic regression model with random effects at level 2
Margaret.MacDougall at ed.ac.uk
Wed Sep 14 18:17:41 CEST 2016
Thank you for this valued advice, David, in response to which I have sent a very similar message to the list you recommend. I would also welcome suggestions from members of the r-help at r-project list, where appropriate.
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From: David Winsemius [mailto:dwinsemius at comcast.net]
Sent: 14 September 2016 16:17
To: MACDOUGALL Margaret <Margaret.MacDougall at ed.ac.uk>
Cc: r-help at r-project.org
Subject: Re: [R] Cross-classified multilevel binary logistic regression model with random effects at level 2
> On Sep 14, 2016, at 6:05 AM, MACDOUGALL Margaret <Margaret.MacDougall at ed.ac.uk> wrote:
> 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.
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