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I was wondering what would be needed to drop the (optional) dependency on GLM. glm.jl seems to contain methods which are type piracy, which isn't great. Also, with JuliaStats/GLM.jl#339 we'd like to drop TableRegressionModel in favor of directly returning LinearModel and GeneralizedLinearModel objects. Would that be a problem for CovarianceMatrices?
Maybe that could be the occasion to fix #47 and JuliaStats/GLM.jl#42 by implementing the necessary parts in GLM? Could we also make this more generic so that it works for other packages that implement the StatsAPI/StatsModels API?
The text was updated successfully, but these errors were encountered:
I am working on it. I will draft a pull request with the necessary changes. My for https://github.com/gragusa/GLM.jl has all the necessary changes to allow CovarianceMatrices.jl to drop the dependence on GLM.jl.
I was wondering what would be needed to drop the (optional) dependency on GLM. glm.jl seems to contain methods which are type piracy, which isn't great. Also, with JuliaStats/GLM.jl#339 we'd like to drop
TableRegressionModel
in favor of directly returningLinearModel
andGeneralizedLinearModel
objects. Would that be a problem for CovarianceMatrices?Maybe that could be the occasion to fix #47 and JuliaStats/GLM.jl#42 by implementing the necessary parts in GLM? Could we also make this more generic so that it works for other packages that implement the StatsAPI/StatsModels API?
The text was updated successfully, but these errors were encountered: