neurostuff / neurostuff/PyMARE
Move statistic conversion functions from NiMARE to PyMARE
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- Dominant language
- Python
- Stars
- 58
- Forks
- 16
- Avg merge
- 5h 7m
- Merged PRs (30d)
- 4
Description
If we want PyMARE to be flexible, then I think we need to account for different types of data. NiMARE already includes a bunch of functions for converting a lot of different values, so I think we should just migrate those functions over here and add some examples using them.
The new datasets module should ultimately be able to provide us with a range of meta-analytic datasets that have different types of data that may need to be converted before we can put them in Dataset objects.
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 NiMARE’s existing statistic conversion functions and the new datasets module, then trace how values are accepted by Dataset objects. Inventory the data types and conversions that need to be supported, and identify suitable examples. Done means the relevant conversions are available in PyMARE and demonstrated for the supported dataset inputs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100