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R package to fit linear and generalized linear mixed models with various extensions, including zero-inflation.

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interpreting output for glmmTMB for zero-inflated count data

I have been trying to read all the documentation I have, but I'm still not sure what the difference is between the "conditional" and zero-inflated models in the output of the glmmTMB. … > model1 <- glmmTMB(drinks_round ~ sex + cann_used + cann_g + other_type + n_used + day + wDay + (1|studyID), zi = ~sex + can_used + cann_g + other_type …
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