Chi-squared test

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.