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Just wondering if there are any plans to implement logistic mixed models (in addition to existing linear models) for association testing?
As the documentation mentions, using a linear model with logistic data can cause a loss of power, etc. As such, it would be great if pyseer had such a logistic mixed model implementation, as well.
Conrad
The text was updated successfully, but these errors were encountered:
We do plan on adding this in a future release - I wrote some prototype code to interface to such a model, but haven't had a chance to fully integrate this yet. I plan to add it before the end of the year.
Realistically no, sorry, I don't see this being added to pyseer any time soon. I expect that pyseer will remain fairly frozen with its current set of features. You could try limix directly, which I think supports this. We may at some point in the future create a separate package with these kind of features, but that wouldn't be in the near future.
Just wondering if there are any plans to implement logistic mixed models (in addition to existing linear models) for association testing?
As the documentation mentions, using a linear model with logistic data can cause a loss of power, etc. As such, it would be great if pyseer had such a logistic mixed model implementation, as well.
Conrad
The text was updated successfully, but these errors were encountered: