Open jmboehm opened 2 years ago
It's a bit tricky because Inf is meaningful. I will leave this issue open so that people can report if they encounter the same issue.
I run into this sometimes as well. The R fixest package also automatically drops those observations.
I think a "do what I mean" approach (dropping Inf
) is unidiomatic in the Julia Stats ecosystem. If rows are being ignored at a minimum there should be a warning.
The following seems like a 'classic' trap:
gives
I feel the package could automatically drop rows where the regressand or one of the regressors is infinite, similarly to how it does with
missing
s. What's the argument against that?