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MixedLM style #1992
I realize I'm late to the party here, but while writing the wrapping code a few comments about MixedLM while I can.
I don't see the
Just looking at an example not thinking about this, right now it looks like the return of the ranef method is a dictionary with 1d scalar array values. Should we just use a pandas.Series here regardless of wrapper? Likewise for the covariance of the random effects. Will this always be a single value 2d array? If so, same change proposed.
Ok, that's good. I'll fix it in my release branch notes. I might be able to do a partial clean up with the wrapper change. Mainly just how it interoperates with our existing data-handling names/missing/etc. I think there's a similar issue for groups with GEE (?). AFAICT, this needs a once over in that area too, though I'm probably not going to add any tests that take me more than 5-10 minutes.