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