[R-meta] rma.glmm model selection

Dear Meta community

I would like to ask for guidance on? how to do model selection in 
metafor::rma.glmm. I'm thinking specifically in the comparison between: 
UM.FS, UM.RS, CM.AL, CM.EL methods. Is it possible to conduct a goodness 
of fit or alternative selection methods between the 4 models?

I saw the model selection here 
https://www.metafor-project.org/doku.php/tips:model_selection_with_glmulti_and_mumin 
<https://www.metafor-project.org/doku.php/tips:model_selection_with_glmulti_and_mumin> 
for predictors that mention that is possible to do a similar approach 
with rma.glmm. Also a specific phrase catch my attention: "one can also 
consider model selection with respect to the random effects structure."

Thanks in advance for your help and time

Kind regards/Saludos cordiales
*Philippe Tadger*
ORCID <https://orcid.org/0000-0002-1453-4105>, Reseach Gate 
<https://www.researchgate.net/profile/Philippe-Tadger>
Phone/WhatsApp: +32498774742

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