feat: add implementation of stats/strided/dmad

[Om-A-osc]

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Resolves #N/A.

Description

What is the purpose of this pull request?

This pull request adds a new statistical routine, stats/strided/dmad, which computes the mean absolute deviation (MAD) from the mean for double-precision floating-point strided arrays.

The implementation supports standard strided access as well as alternative indexing semantics using an explicit offset. It correctly handles negative strides, typed array views, and edge cases such as N <= 0, N === 1, strideX === 0, and NaN values.

In addition to the JavaScript implementation, this pull request includes a corresponding C implementation, along with benchmarks, unit tests, TypeScript declarations, and usage examples, ensuring feature completeness and consistency with existing stdlib APIs.

Related Issues

Does this pull request have any related issues?

No related issues.

Questions

Any questions for reviewers of this pull request?

No.

Other

Any other information relevant to this pull request? This may include screenshots, references, and/or implementation notes.

The mean absolute deviation is computed with respect to the arithmetic mean (not the median), and all examples and doctests reflect this definition.

Checklist

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

• Read, understood, and followed the contributing guidelines.

AI Assistance

When authoring the changes proposed in this PR, did you use any kind of AI assistance?

• Yes
• No

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[stdlib-bot]

Coverage Report

Package	Statements	Branches	Functions	Lines
stats/strided/dmad	$\color{green}370/370$ $\color{green}+0.00%$	$\color{green}22/22$ $\color{green}+0.00%$	$\color{green}4/4$ $\color{green}+0.00%$	$\color{green}370/370$ $\color{green}+0.00%$

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