easystats / easystats/performance
Questions about r2_loo()
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Enhancement :boom:
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Description
- How concerned should I be about Pareto k warnings from
r2_loo()? - Is there a way to tweak the LOO settings within {performance} to address this or would I have to do the LOO separately (e.g., through
brms::loo()) and then plug the results into some equation? - Is there a way to apply LOO adjustment to the marginal R^2 in a mixed model?
Contributor guide
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.
Research direction
Start with the r2_loo() documentation and its LOO-related entry points, then compare the questions with brms::loo() and marginal R² for mixed models. The issue is done when the supported settings, Pareto k guidance, and any limitations or workflows are clearly documented, with relevant tests if documentation behavior changes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100