stan-dev / stan-dev/posteriordb
Include additional posterior components of interest
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- Dominant language
- Stan
- Stars
- 232
- Forks
- 52
- PR merge metrics
- No merged PRs in 30d
Description
posterior (default)
posterior predictive
prior
prior predictive
elementwise loglikelihoods
The question is how to do this efficiently. Probably by including likelihood functions that take the data and posterior gold standard and produce it.
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.
Research direction
Start by reviewing the repository's existing handling of posterior, posterior predictive, prior, and prior predictive outputs, then identify how elementwise loglikelihoods are represented. Compare the available approaches for adding these components efficiently; done means the requested component types are supported without unnecessary computation.
Written by the indexing model from the issue text.
Assessment
- Domain
- databases, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100