[R-sig-ME] Anova (type III-tests) table based on LRT for glmmTMB models

[Guillaume Adeux]

Hello everyone,

I'm looking for a method/function in order to produce an Anova table based
on Likelihood Ratio Tests (LRT) for a glmmTMB model (R software). In my
case it is with a beta distribution and log link. My response is a ratio
(%) in a repeated measures design.

   -

   the function Anova() from the {car} package doesn't not run on single
   models (i.e. Anova(mod)). It only allows comparison of two models (i.e.
   Anova(mod,mod1)).
   -

   for glmer models, I was used to using the mixed() function from the
   {afex} packages which produced Anova tables (type III tests) based on LRT
   (or parametric bootstrap) for glmms.

Could anyone shed their on light on a function like mixed() which would run
on glmmTMB objects or on a procedure to do this by hand?

I suppose if only one fixed predictor was present in the model, this would
be simple by comparing it to a null model but my model contains an
interaction. Hence, I am incable of comparing a model A+B+B:C with a model
containing A+B:C.

Thanks for your interest.

Guillaume ADEUX

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