When all observations (k) are 0, ebbr fails with an unhelpful error message:
> ebbr::add_ebb_estimate(data.frame(k=rep(0, 10), n=sample(100, 10)), k ,n)
Error in if (!all(lower <= start & start <= upper)) { :
missing value where TRUE/FALSE needed
If at least one observation is >1 it does work fine:
When all observations (k) are 0, ebbr fails with an unhelpful error message:
If at least one observation is >1 it does work fine: