easystats / easystats/performance

Questions about r2_loo()

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#190 2 comments 0 reactions 0 assignees View on GitHub

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Enhancement :boom:
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R
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Merged PRs (30d)
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Description

  1. How concerned should I be about Pareto k warnings from r2_loo()?
  2. 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?
  3. Is there a way to apply LOO adjustment to the marginal R^2 in a mixed model?

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

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