[R-sig-ME] Using glmer in R

[Muhammad Mullah]

Dear Duffy,
As per your suggestion I went through the following but could not find any clue or work out example to figure out my problem; fitting a mixed model using ‘glmer’ or ‘mler’ so that all the random effects are iid with common variance parameter i.e., the variance covariance matrix will have the common value for diagonal element and zero for the off diagonal elements.

Can you please help me in this regard!

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Have you read the vignettes
vignette(package="lme4")
the draft book chapters at
http://lme4.r-forge.r-project.org/
lecture notes at
http://lme4.r-forge.r-project.org/slides/
wiki at
http://glmm.wikidot.com/
------------------------------------------

With Regards,
Shadeque
PhD student
Dept. of Epidemiology and Biostatistics
McGill University
________________________________________
From: David Duffy [David.Duffy at qimr.edu.au]
Sent: Sunday, July 01, 2012 6:49 PM
To: Muhammad Mullah
Cc: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] Using glmer in R

On Sun, 1 Jul 2012, Muhammad Mullah wrote:

> Can anybody helps me to figure out how ?glmer? or ?lmer? in R can be
> used to estimate the random effects in mixed model so that all random
> effects are independent and have the same variance, i.e., the variance
> covariance matrix will have same value for diagonal element and zero for
> covariance.

Usually the question is how to make them heterogenous ;)

Have you read the vignettes
vignette(package="lme4")
the draft book chapters at
http://lme4.r-forge.r-project.org/
lecture notes at
http://lme4.r-forge.r-project.org/slides/
wiki at
http://glmm.wikidot.com/