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It's possible but not currently implemented at the moment. It would require a change to the underlying R function to also output the standard errors here and then adjust the dataframe to account for these additional columns.
Not sure if/when I'll have time to implement something like this but happy to take PRs!
I wonder if it's possible to obtain the bootstrapping estimates that are used to compute the
SE
when you usemodel.fit(conf_int='boot',n_boot=size)
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