[ADMB Users] estimation of random effects correlations

Mollie Brooks mbrooks at ufl.edu
Tue May 7 00:46:37 PDT 2013

Hi Kristian,

The default is to fit uncorrelated random effects (a diagonal variance-covariance matrix), but it appears that you can fit them with a full variance-covariance matrix using the corStruct argument. I can not testify to how well this has been tested.

a string specifying the covariance structure of the random effects vector. Two types of covariance matrices are currently implemented: "diag" (diagonal matrix) and "full" (positive definite matrix with all elements being estimated).


Mollie Brooks, PhD
Postdoctoral Researcher, Population Ecology Research Group, Ozgul Lab, http://www.popecol.org
Institute of Evolutionary Biology & Environmental Studies, University of Zürich

On 7 May 2013, at 9:39 AM, Kristian Kleinke <kmkleinke at gmail.com> wrote:

> Hi, 
> just a short question I've been trying to find an answer to: 
> am I correct, that glmmadmb() cannot estimate correlations between random effects?
> Thanks, 
> Kristian
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> Users at admb-project.org
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