JuliaAI / JuliaAI/StatisticalMeasures.jl
Add D2 and Lin's Concordance Correlation Coefficient
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 23
- Forks
- 7
- PR merge metrics
- No merged PRs in 30d
Description
D2 may be trickier to implement if the Tweedie power parameter, but as first implementation it could be given by the user.
Lin's Concordance Correlation Coefficient is straightforward.
Both are used in various disciplines, mainly the geosciences.
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
No file or test is named; start by reviewing the existing measure implementations and the project’s conventions for adding metrics. Implement D2 with the Tweedie power supplied by the user and add Lin’s Concordance Correlation Coefficient, then verify both measures against their definitions and existing project tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- data
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 65/100