R help - Jun 2006 - lme4 - higher level

Hello all,

I just started working with the lme4 package to estimate a multilevel 
logistic regression and am planning to use this package for a 
cross-classification / multiple-membership model.  I haven't found many 
worked examples and am trying to figure out how to add variables to the 
higher-level part of the model.  Consider the following example:

test.1 <- lmer(y ~ b1 + b2 + b3 + (1 | group), org.data)

This model shows a simple two-level nesting pattern -- for example, 
persons nested in groups.  If I have data describing the groups, such as 
the age or accreditation status of the group (or both), how would I 
include those variables in the model? 

I found a very nice description of lme4 by Bates describing the package 
in R News.  Is anybody aware of any other examples or resources that 
provide worked examples preferably with annotated results?

Thanks,
Brian

Brian
 
Additional covariates would be included in the fixed portion of the model. For
example
 
test.1 <- lmer(y ~ b1 + b2 + b3 +age+sex+...+ (1 | group), org.data)


________________________________

From: r-help-bounces@stat.math.ethz.ch on behalf of Brian Perron
Sent: Wed 6/28/2006 12:25 PM
To: r-help@stat.math.ethz.ch
Subject: [R] lme4 - higher level



Hello all,

I just started working with the lme4 package to estimate a multilevel
logistic regression and am planning to use this package for a
cross-classification / multiple-membership model.  I haven't found many
worked examples and am trying to figure out how to add variables to the
higher-level part of the model.  Consider the following example:

test.1 <- lmer(y ~ b1 + b2 + b3 + (1 | group), org.data)

This model shows a simple two-level nesting pattern -- for example,
persons nested in groups.  If I have data describing the groups, such as
the age or accreditation status of the group (or both), how would I
include those variables in the model?

I found a very nice description of lme4 by Bates describing the package
in R News.  Is anybody aware of any other examples or resources that
provide worked examples preferably with annotated results?

Thanks,
Brian

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