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It would be useful to have functionality that either:
Takes a data.table produced from bm$aggregate with a measure and it's standard error, and automatically computes x% CIs with a given confidence. Multiple-testing correction automatically applied would be a bonus.
Detects if a measure has a se return type (currently in mlr3proba only) and on a call to $aggregate automatically adds this type then computes CIs
The text was updated successfully, but these errors were encountered:
It would be useful to have functionality that either:
data.table
produced frombm$aggregate
with a measure and it's standard error, and automatically computes x% CIs with a given confidence. Multiple-testing correction automatically applied would be a bonus.se
return type (currently in mlr3proba only) and on a call to$aggregate
automatically adds this type then computes CIsThe text was updated successfully, but these errors were encountered: