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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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- [`e6caafc`](https://github.com/stdlib-js/stdlib/commit/e6caafc261076eba2325f589f094c8264ba6d8b2) - **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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# Contributors listed in alphabetical order.
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Aadish Jain <[email protected]>
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Aarya Balwadkar <[email protected]>
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Aayush Khanna <[email protected]>
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Abdelrahman Samir <[email protected]>
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Abdul Kaium <[email protected]>
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Abhay Punia <[email protected]>
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Abhijit Raut <[email protected]>
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Abhishek Jain <[email protected]>
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Aksshay Balasubramanian <[email protected]>
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Aleksandr <[email protected]>
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Ali Salesi <[email protected]>
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AlyAbdelmoneim <[email protected]>
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Aman Bhansali <[email protected]>
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AmanBhadkariya <[email protected]>
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Amit Jimiwal <[email protected]>
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Anudeep Sanapala <[email protected]>
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Athan Reines <[email protected]>
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Bhavishy Agrawal <[email protected]>
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Brendan Graetz <[email protected]>
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Bruno Fenzl <[email protected]>
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Bryan Elee <[email protected]>
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Jaison D Souza <[email protected]>
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Jalaj Kumar <[email protected]>
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James Gelok <[email protected]>
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Jaysukh Makvana <[email protected]>
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Jenish Thapa <[email protected]>
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Jithin KS <[email protected]>
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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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Kshitij-Dale <[email protected]>
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Lovelin Dhoni J B <[email protected]>
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Manik Sharma <[email protected]>
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Manvith M <[email protected]>
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Marcus Fantham <[email protected]>
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Oneday12323 <[email protected]>
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Ori Miles <[email protected]>
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Philipp Burckhardt <[email protected]>
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Prajjwal Bajpai <[email protected]>
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Prajwal Kulkarni <[email protected]>
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Pranav Goswami <[email protected]>
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Pranjal Jha <[email protected]>
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Pratyush Kumar Chouhan <[email protected]>
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Priyansh Prajapati <[email protected]>
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Priyanshu Agarwal <[email protected]>
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Pulkit Gupta <[email protected]>
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Pushpendra Chandravanshi <[email protected]>
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Rahul Kumar <[email protected]>
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Raunak Kumar Gupta <[email protected]>
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Rejoan Sardar <[email protected]>
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Ricky Reusser <[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]>
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Sarthak Paandey <[email protected]>
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Saurabh Singh <[email protected]>
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Seyyed Parsa Neshaei <[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 and `n` corresponds to the number of non-`NaN` indexed elements), both functions return `NaN`.
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- Depending on the environment, the typed versions ([`dnanstdevwd`][@stdlib/stats/base/dnanstdevwd], [`snanstdevwd`][@stdlib/stats/base/snanstdevwd], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dnanstdevwd`][@stdlib/stats/strided/dnanstdevwd], [`snanstdevwd`][@stdlib/stats/base/snanstdevwd], 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/dnanstdevwd`][@stdlib/stats/base/dnanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats-strided/dnanstdevwd`][@stdlib/stats/strided/dnanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats-base/nanvariancewd`][@stdlib/stats/base/nanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats-base/nanstdev`][@stdlib/stats/base/nanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats-base/snanstdevwd`][@stdlib/stats/base/snanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.</span>
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<!-- <related-links> -->
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[@stdlib/stats/base/dnanstdevwd]: https://github.com/stdlib-js/stats-base-dnanstdevwd
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[@stdlib/stats/strided/dnanstdevwd]: https://github.com/stdlib-js/stats-strided-dnanstdevwd
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[@stdlib/stats/base/nanvariancewd]: https://github.com/stdlib-js/stats-base-nanvariancewd
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