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fit <- brm(y | trials(n) ~ 1, family=beta_binomial(), data = data.frame(y=1, n=2), iter=1)
says
Links: mu = logit; phi = identity
The same issue is at least for zero_inflated_beta_binomial(), too.
So I was confused "log" changing to "identity", but @paul-buerkner reminded that, in my model, phi was not predicted, and thus there was no link function. After discussion, a potential improvement is to not show link for non-predicted distributional parameters, that is for the above case show
Links: mu = logit
The text was updated successfully, but these errors were encountered:
Tested with the latest github version
Doc says
Summary for
says
The same issue is at least for
zero_inflated_beta_binomial()
, too.So I was confused "log" changing to "identity", but @paul-buerkner reminded that, in my model, phi was not predicted, and thus there was no link function. After discussion, a potential improvement is to not show link for non-predicted distributional parameters, that is for the above case show
The text was updated successfully, but these errors were encountered: