Message-ID: <1ff811d4-5970-850b-0f63-a563baa6b962@gmail.com>
Date: 2021-09-11T10:41:30Z
From: Philippe Tadger
Subject: [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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