feat: add stats/base/ndarray/meankbn

[Bureir]

Resolves #8095

Description

What is the purpose of this pull request?

This pull request:

• adds @stdlib/stats/base/ndarray/meankbn, an ndarray wrapper around @stdlib/stats/strided/meankbn implementing the improved Kahan–Babuška compensation algorithm;
• mirrors the API and behavior of @stdlib/stats/base/ndarray/mean (supports empty and singleton inputs, non-unit and negative strides, and non-zero offsets);
• includes comprehensive unit tests adapted from ndarray/mean, plus a numerics test demonstrating improved conditioning on [1e16, 1, -1e16];
• adds an example and a benchmark;
• adds README and docs (types, REPL transcript, and equation SVG).

Related Issues

Does this pull request have any related issues?

This pull request:

• resolves [RFC]: add stats/base/ndarray/meankbn #8095

Questions

Any questions for reviewers of this pull request?

No.

Other

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No.

Checklist

Please ensure the following tasks are completed before submitting this pull request.

• Read, understood, and followed the contributing guidelines.

---

@stdlib-js/reviewers

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Coverage Report

Package	Statements	Branches	Functions	Lines
stats/base/ndarray/meankbn	$\color{green}95/95$ $\color{green}+100.00\%$	$\color{green}3/3$ $\color{green}+100.00\%$	$\color{green}1/1$ $\color{green}+100.00\%$	$\color{green}95/95$ $\color{green}+100.00\%$

The above coverage report was generated for the changes in this PR.

[Bureir]

Addressed review feedback: updated README, aligned index.js and example with project conventions, and normalized package.json. Tests and example pass locally. PTAL.

[Bureir]

Thanks for the quick review! I’ve aligned the new package with project conventions by:

• Rewriting the README to match the structure of sibling packages (Usage / Notes / Examples / See Also), fixed code fences and wording, and clarified the ndarray call shape.

• Updating index.js and lib/index.js to include license headers, module JSDoc, and proper re-export of ./lib.

• Making the example build a typed ndarray and print the result (mirrors ndarray/mean style).

• Normalizing package.json fields (name, description, license, main, keywords).

• Verifying tests/examples/benchmarks pass locally for this package.

If there are any remaining convention nits (section order, phrasing, example format, or types), I’m happy to adjust. PTAL, thanks!