Reference problem
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 576
- Forks
- 234
- PR merge metrics
- No merged PRs in 30d
Description
This is not so much a problem with the package per say, but a lack of references, and I don't know where else to post it. I looked to the paper and the github and there is no description of how the package calculates the figures, I saw just one comment in the paper: "it uses scatterplot matrix", which didn't clarify to me how the algorithm works.
(I am new to statistics overall, maybe it is obvious, I am just trying to understand why a grid calculation I did is giving different results than the mcmc for the marginalized posterior. )
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 by reviewing the cited paper and the package's GitHub materials to identify how the figures and marginalized posterior are calculated. Done means adding references and a clear explanation of the algorithm, including enough detail to explain why grid calculations may differ from MCMC results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization, documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100