Use observation weights in `proj_predict()`
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enhancement
- Dominant language
- R
- Stars
- 114
- Forks
- 31
- PR merge metrics
- No merged PRs in 30d
Description
It would make sense for proj_predict() to take observation weights into account also for families other than binomial, see https://github.com/paul-buerkner/brms/pull/1459#issuecomment-1431257419.
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 proj_predict() entry point and read the linked brms discussion about observation weights. Trace how weights are handled for the binomial family versus other families, and consider the work complete when non-binomial predictions account for observation weights consistently.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100