[R-sig-ME] singular fit

Thierry Onkelinx th|erry@onke||nx @end|ng |rom |nbo@be
Thu Jan 2 09:46:50 CET 2020

Dear Jill,

Can you share the model formula and the design of your experiment? It's
hard to answer your question without such basic information.

Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
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,
> Jill
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