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The key test of interest could be a lot of things: an interaction term in more complex situations, or even something more esoteric like a comparison of model fits with and without a term in ordinal regression. The first feels easy enough, while the last feels like a separate program entirely. So maybe there's a line.
But, ideally, perhaps development should limit itself to being primarily a framework within which you can construct and run complete model sets, while staying minimal enough to allow you to set up analyses.
Is there some kind of approach that lets you specify an arbitrary outcome that can be captured and compared across models? The "tidy" methods from broom (and broom.mixed) seem like guideposts/potential directions here. They're already being used, of course, but it will need more thought.
The text was updated successfully, but these errors were encountered:
The key test of interest could be a lot of things: an interaction term in more complex situations, or even something more esoteric like a comparison of model fits with and without a term in ordinal regression. The first feels easy enough, while the last feels like a separate program entirely. So maybe there's a line.
But, ideally, perhaps development should limit itself to being primarily a framework within which you can construct and run complete model sets, while staying minimal enough to allow you to set up analyses.
Is there some kind of approach that lets you specify an arbitrary outcome that can be captured and compared across models? The "tidy" methods from
broom
(andbroom.mixed
) seem like guideposts/potential directions here. They're already being used, of course, but it will need more thought.The text was updated successfully, but these errors were encountered: