[R-sig-ME] Quick Question on glmer.nb

Thierry Onkelinx thierry@onkelinx @ending from inbo@be
Mon Dec 17 20:24:09 CET 2018


Dear Pasha,

This is explained on the FAQ:
http://bbolker.github.io/mixedmodels-misc/glmmFAQ.html#testing-significance-of-random-effects

Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx using inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

///////////////////////////////////////////////////////////////////////////////////////////
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
///////////////////////////////////////////////////////////////////////////////////////////

<https://www.inbo.be>


Op ma 17 dec. 2018 om 18:49 schreef Mohammadreza Hashemi <hashemi using hawaii.edu
>:

> Hi folks,
>
> I was working with glmer.nb function to estimate a negative binomial mixed
> effects model.
> I was wondering if there is any chance to get the t statistics or the p
> values for the random effects as well as the fixed effects?
>
> Thank you so much for your time.
>
> Sincerely,
> Pasha
>
> P.S. More info just in case my question is not clear:
> I am looking to find a way to justify if I should assume a random slope
> for a variable or not. The lme4 output shows the standard deviation of each
> random parameter, but it does not say anything about its significance for
> the model (Please correct me if I am wrong).
>
>
>
>
>         [[alternative HTML version deleted]]
>
> _______________________________________________
> R-sig-mixed-models using r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>

	[[alternative HTML version deleted]]



More information about the R-sig-mixed-models mailing list