[R] Test for random effects in GLM

[ripley@stats.ox.ac.uk]

First, this is not a generalized linear model: they don't have random
effects.  It's a GL>M<M.

You can test for a non-zero random-effects variance: this is not different
from an nlme fit (but different from an lme fit as the likelihood is
approximated).

On Thu, 1 Aug 2002, Daniel Mastropietro wrote:

> Hello,
>
> I would like to know how to test whether the 'subject' random effect is
> significant in a generalized linear model.
>
> I am using glmmPQL() in the MASS package.
> The response is binary and my model only has an intercept as fixed effect
> and 'subject' as random effect . That is, the fit is:
>
> glmmPQL(y ~ 1 , random = ~ 1 | subject , family=binomial , data=data)
>
> Thanks in advance
> Daniel
>
>
>
>
>
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-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
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