[R-sig-ME] (no) significance value (gl)mer

Ben Bolker bbolker at gmail.com
Mon Apr 25 19:43:34 CEST 2016

  For what it's worth, I've lately been playing with the FAQ; a (*very*
slightly) updated version is at
https://rawgit.com/bbolker/mixedmodels-misc/master/glmmFAQ.html  (source
at https://github.com/bbolker/mixedmodels-misc/blob/master/glmmFAQ.rmd ).
   At some point when I think the new version is sufficiently improved
over the old one to warrant it, I'll replace the old (wikidot.com)
version with a pointer to the Github repo.

  Comments (and pull requests) welcome!

On 16-04-25 10:27 AM, Marko Bachl wrote:
> Dear Ben,
> Just a short info, others may have something more substantial to add.
> You will find plenty of information on significance tests and
> inference in lme4 in the top sections of this website:
> http://glmm.wikidot.com/faq.
> A short info inside the lme4 package is given by
> require(lme4)
> ?pvalues
> Best,
> Marko
> 2016-04-25 15:52 GMT+02:00 Ben Pelzer <b.pelzer at maw.ru.nl>:
>> Dear list,
>> In lmer, no significances for the t-values of fixed effects are given, while
>> in a logistic model with glmer, significances for z-values are shown. Where
>> does this difference come from? Does it mean, that the problem of computing
>> the "right" nr. of degrees of freedom for the t-values of a linear model
>> does not exits (or is less of a problem) for non-linear models? Are the
>> significances that glmer produces (at least in case of logistic regression)
>> based on the Wald statistic or may be on an LRT test? Thanks for any
>> explanation!
>> Ben.
>> _______________________________________________
>> R-sig-mixed-models at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

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