Message-ID: <3a16e1cffdce40829e7f4cd2424ecd12@erasmusmc.nl>
Date: 2019-07-22T16:01:40Z
From: Dimitris Rizopoulos
Subject: lme4 multivariate
In-Reply-To: <70228C1D4D5C0141AE9A106936BD56DC973B2512@MBXP11.ds.man.ac.uk>
You could the put the two outcomes one underneath the other, create a factor variable denoting the outcome, and interactions of this factor with the fixed and random effects you want to include.
Best,
Dimitris
From: Angelo Moretti <angelo.moretti at manchester.ac.uk<mailto:angelo.moretti at manchester.ac.uk>>
Date: Monday, 22 Jul 2019, 18:08
To: r-sig-mixed-models at r-project.org <r-sig-mixed-models at r-project.org<mailto:r-sig-mixed-models at r-project.org>>
Subject: [R-sig-ME] lme4 multivariate
Hello,
I am writing regarding the R package lme4. My aim is to estimate a bivariate generalised mixed-effect model for binary responses (with logit link function). Does the package allow to do this instead of estimating two separate models? I am trying to do that under ML.
Thank you very much for your help.
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