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Good first issueNew feature
Description
This issue does not include a description.
Contributor guide
- Tech stack
- python
- Domain
- datamachine learning
- Issue type
- feature
- DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
- 4
- Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
- 1-2 days
- Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
- stale
- ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
- unclear
- Prerequisites
- understanding of chi squared testfamiliarity with river APIPython
- Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
- 20
- Research direction
- The issue lacks any description, so the first step is to clarify the scope. Look at existing statistical tests in river (e.g., `river.stats`) for implementation patterns. Consider whether this is for discrete or continuous data. The chi squared test is used for independence or goodness of fit. Review the repository's contribution guidelines and similar feature issues to understand expected structure. Since the issue is stale, it may need a maintainer to provide acceptance criteria.