[R-sig-ME] quasi-binomial family in lme4
j.hadfield at ed.ac.uk
Tue Nov 9 16:37:35 CET 2010
That would be very welcome. It might be nice for lmer to fit a
residual term if quasi models are specified, since this now seems to
On 9 Nov 2010, at 15:26, Douglas Bates wrote:
> On Tue, Nov 9, 2010 at 9:02 AM, Jarrod Hadfield
> <j.hadfield at ed.ac.uk> wrote:
>> Hi Florian,
>> This comes up regularly and the list (nearly) always stays silent.
>> As far as
>> I am aware quasi models in lmer do not, and never have, given
>> results. To model over-dispersion you can try fitting an
>> random effect. For example:
>> and fitting (1|resid) in the model formula.
>> This year I have reviewed four papers that have used quasi models
>> in lmer,
>> and its no fun to tell the authors that their results may not be
>> To paraphrase an earlier post, why are they there if they do not
>> work - it's
> I agree. I should have removed them from lme4 long ago if I suspected
> that the results were not correct.
> I will do so (once I figure out how to forbid them).
>> On 8 Nov 2010, at 03:30, T. Florian Jaeger wrote:
>>> I am analyzing some data that seems to require a quasibinomial
>>> but the model returns incredibly small standard errors (and
>>> correspondingly inflated t-values) that do not seem to be justified
>>> given my data.
>>> I've been reading (I think) all available posts on problems with the
>>> quasi-binomial family in lme4. But I can't judge from the posts
>>> whether all issues with the quasi-binomial models in lme4 are
>>> to be resolved. So, I am wondering, are there any known issues with
>>> quasi-binomial models in lme4?
>>> I am using
>>> Package: lme4
>>> Version: 0.999375-35
>>> Date: 2010-08-18
>>> in environment:
>>> platform i386-pc-mingw32
>>> arch i386
>>> os mingw32
>>> system i386, mingw32
>>> major 2
>>> minor 11.1
>>> year 2010
>>> month 05
>>> day 31
>>> svn rev 52157
>>> language R
>>> version.string R version 2.11.1 (2010-05-31)
>>> R-sig-mixed-models at r-project.org mailing list
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