[R-sig-ME] singular fit
th|erry@onke||nx @end|ng |rom |nbo@be
Thu Jan 2 09:46:50 CET 2020
Can you share the model formula and the design of your experiment? It's
hard to answer your question without such basic information.
ir. Thierry Onkelinx
Statisticus / Statistician
Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx using inbo.be
Havenlaan 88 bus 73, 1000 Brussel
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
Op do 2 jan. 2020 om 06:47 schreef Jill Brouwer <jilbo97 using gmail.com>:
> Hi all,
> I have fitted a GLMM using glmer in lme4, and when I run the model it comes
> out with a singular fit warning.
> However when I ran the isSingular command on it and changed the tolerance
> to 1e-05 instead of the default 1e-04 that caused the original warning, it
> comes out as false - no singular fit warning!
> Does this mean that the first warning is a false positive?
> I can't find anything that suggests what the tolerance ratio should be but
> in the GLMM FAQ on github, the troubleshooting example uses 1e-05.
> Is it fine to stay with this model - I would prefer it to include all the
> random effects as they are all of interest to me, and the model itself is
> structured based on how I ran my experiment.
> Sorry if this is a basic question, I am still learning!
> Kind regards,
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