[R-sig-ME] Inclusion of correlation structure glmer function of package lme4

[Thierry Onkelinx]

Dear Marcos,

You cannot add correlation structures to an lme4 model like you can with
nlme models.

Have a look at the INLA or glmmTMB packages instead.

Best regards,

Thierry

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 wo 19 feb. 2020 om 15:15 schreef Marcos Paulo <cjfr2020 using gmail.com>:

> Dear,
>
> Good night.
>
> I am using the glmer function of the lme4 package of R. My answer is
> Bernoulli and my data are longitudinal.
>
> In the bild Package, I have already found article using correlation
> structures.
>
> Is there any way I can use the glmer function and be able to include a
> correlation structure? If it is not possible, could you tell me which
> default is?
>
> The code in R is only to facilitate the help.
>
> ## generalized linear mixed model
> library(lme4)
> (gm1 <- glmer(cbind(incidence, size - incidence) ~ period + (1 | herd),
>               data = cbpp, family = binomial))
>
> Thanks
>
> Marcos Paulo
>
>         [[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]]