create immunity visualization of simulated populations
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 13
- Forks
- 3
- Avg merge
- 19h 43m
- Merged PRs (30d)
- 1
Description
Similar to the other features in the shiny app, allow a user to open a shiny browser to inspect their model's immunity curves.
will use ode wrapper created in this commit here: https://github.com/cdcent/cfa-scenarios-model/commit/051824144bf43b3c3994f0cc30e04e213b7b0c90#diff-400840bc39c4b5b60c5171958b9540103e73d53c0ed484bb64d1e03c198a78baR363
CLOSES https://github.com/cdcent/cfa-scenarios-model/tree/immunity_extraction upon completion please.
Contributor guide
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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 existing features in the Shiny app and the ODE wrapper referenced in commit 051824144bf43b3c3994f0cc30e04e213b7b0c90. Trace how simulated populations are exposed to the app, then define the immunity-curve view and its browser entry point. Done means a user can inspect immunity curves for their model in the Shiny browser and the immunity_extraction work can be closed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 28/100