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.github/.keepalive

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CHANGELOG.md

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> Package changelog.
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<section class="release" id="unreleased">
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## Unreleased (2025-03-29)
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<section class="commits">
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### Commits
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<details>
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- [`6ff81eb`](https://github.com/stdlib-js/stdlib/commit/6ff81eb876b628462c4a029a0392fcf8e2aff2bf) - **refactor:** update paths _(by Aayush Khanna)_
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</details>
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</section>
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<!-- /.commits -->
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<section class="contributors">
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### Contributors
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A total of 1 person contributed to this release. Thank you to this contributor:
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- Aayush Khanna
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</section>
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<!-- /.contributors -->
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</section>
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<!-- /.release -->
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<section class="release" id="v0.2.2">
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## 0.2.2 (2024-07-27)

CONTRIBUTORS

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Karan Anand <[email protected]>
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Karthik Prakash <[email protected]>
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Kaushikgtm <[email protected]>
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Kavyansh-Bagdi <[email protected]>
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Kohantika Nath <[email protected]>
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Krishnam Agarwal <[email protected]>
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Krishnendu Das <[email protected]>
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Ruthwik Chikoti <[email protected]>
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Ryan Seal <[email protected]>
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Rylan Yang <[email protected]>
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SAHIL KUMAR <[email protected]>
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SHIVAM YADAV <[email protected]>
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Sai Srikar Dumpeti <[email protected]>
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Sanchay Ketan Sinha <[email protected]>

README.md

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- If `N <= 0`, both functions return `NaN`.
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- If `N - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment), both functions return `NaN`.
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- Depending on the environment, the typed versions ([`dstdevwd`][@stdlib/stats/base/dstdevwd], [`sstdevwd`][@stdlib/stats/base/sstdevwd], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dstdevwd`][@stdlib/stats/strided/dstdevwd], [`sstdevwd`][@stdlib/stats/base/sstdevwd], etc.) are likely to be significantly more performant.
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</section>
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## See Also
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- <span class="package-name">[`@stdlib/stats-base/dstdevwd`][@stdlib/stats/base/dstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats-strided/dstdevwd`][@stdlib/stats/strided/dstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats-base/nanstdevwd`][@stdlib/stats/base/nanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats-base/sstdevwd`][@stdlib/stats/base/sstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats-base/stdev`][@stdlib/stats/base/stdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array.</span>
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<!-- <related-links> -->
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[@stdlib/stats/base/dstdevwd]: https://github.com/stdlib-js/stats-base-dstdevwd
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[@stdlib/stats/strided/dstdevwd]: https://github.com/stdlib-js/stats-strided-dstdevwd
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[@stdlib/stats/base/nanstdevwd]: https://github.com/stdlib-js/stats-base-nanstdevwd
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