two cultures
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- r
- Domain
- documentation
Research direction
The issue discusses expanding IMS toward Stat 2, with model-building material covering variable interpretation, add1(), drop1(), prediction, and tidymodels. Start by reviewing the existing IMS structure and content to identify gaps; done would require a defined, agreed scope and a complete set of new material.
Written by the indexing model from the issue text.
Description
Nick keeps pushing us to think about expanding IMS to Stat 2. I don't know. But, one of the pieces I find most interesting is model building with two cultures and how the code makes the process easier or harder.
Model as variables: if you really care about the variable interpretation, then you want to hone in on which coefficients should be kept in the model. add1() and drop1() are super useful for that.
Model as prediction: if you really care about the model as a way to make predictions, then you mostly care about how the model does in the wild. And tidymodels is incredibly powerful for working with data in principled ways so as to get accurate assessments.
There could be some good stuff in here. But man, there would be a lot of other stuff to fill in the gaps, and it feels like a GINORMOUS task to do it well.
- Dominant language
- JavaScript
- Stars
- 948
- Forks
- 211
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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