[R] glmm for binomial data? (OT)

[ripley@stats.ox.ac.uk]

Same as then.

glmmPQL in MASS (approximate, but not a bad approximation)
glmm in GLMMGibbs (needs careful tuning in the binomial case, but
has worked for me).

New info:

There is a section and a couple of worked examples in MASS4.  The
best method there uses R/S+C code which is not yet available to public
release, but we expect it to be within 6 months.

On Mon, 28 Oct 2002, Damien O. Joly wrote:

> A while ago (April 2002) there was a short thread on software for generalized
> linear mixed models.
>
> Since that time, has anyone written or found R code to use a glmm to analyze
> binomial data?  I study CWD in white-tailed deer, and I'd like to do a
> similar analysis as Kleinschmidt et al. (2001, Am. J. Epidemiology 153:
> 1213-1221) used to assess control for spatial structure in malaria incidence
> in South Africa.  They used SAS PROC MIXED in an iterative procedure with a
> poisson model, although due to widely varying sample sizes I'd prefer to
> treat my data as binomial (e.g., CWD pos or neg rather than number of CWD pos
> deer).

-- 
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)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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