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CHANGELOG.md

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<section class="release" id="unreleased">
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## Unreleased (2025-07-14)
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## Unreleased (2025-07-17)
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<section class="features">
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<details>
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- [`3e5f087`](https://github.com/stdlib-js/stdlib/commit/3e5f087480788b58307242117587a8564114519f) - **refactor:** update paths _(by Gururaj Gurram)_
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- [`8c107ba`](https://github.com/stdlib-js/stdlib/commit/8c107ba16d7d2b6e4a37fc8fbbdf54553385414c) - **refactor:** update paths _(by Gururaj Gurram)_
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- [`0ce3935`](https://github.com/stdlib-js/stdlib/commit/0ce393575bc9f92b32158f83cc47c02aec2445e8) - **refactor:** rename files and update paths _(by Athan Reines)_
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- [`5654424`](https://github.com/stdlib-js/stdlib/commit/5654424510f9b6d9273b5ce4c60f365761a53cca) - **feat:** add support for accessor arrays and refactor `stats/base/nanstdevch` [(#7588)](https://github.com/stdlib-js/stdlib/pull/7588) _(by Gururaj Gurram)_

README.md

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## See Also
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- <span class="package-name">[`@stdlib/stats-strided/dnanstdevch`][@stdlib/stats/strided/dnanstdevch]</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 a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats-base/nanvariancech`][@stdlib/stats/base/nanvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats-strided/nanvariancech`][@stdlib/stats/strided/nanvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean 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/snanstdevch`][@stdlib/stats/base/snanstdevch]</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 a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats-strided/stdevch`][@stdlib/stats/strided/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
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[@stdlib/stats/strided/dnanstdevch]: https://github.com/stdlib-js/stats-strided-dnanstdevch
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[@stdlib/stats/base/nanvariancech]: https://github.com/stdlib-js/stats-base-nanvariancech
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[@stdlib/stats/strided/nanvariancech]: https://github.com/stdlib-js/stats-strided-nanvariancech
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[@stdlib/stats/base/nanstdev]: https://github.com/stdlib-js/stats-base-nanstdev
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dist/index.js

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dist/index.js.map

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lib/ndarray.js

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// MODULES //
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var nanvariancech = require( '@stdlib/stats-base-nanvariancech' ).ndarray;
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var nanvariancech = require( '@stdlib/stats-strided-nanvariancech' ).ndarray;
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var sqrt = require( '@stdlib/math-base-special-sqrt' );
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package.json

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},
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"dependencies": {
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"@stdlib/math-base-special-sqrt": "^0.2.2",
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"@stdlib/stats-base-nanvariancech": "^0.2.2",
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"@stdlib/stats-strided-nanvariancech": "github:stdlib-js/stats-strided-nanvariancech#main",
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"@stdlib/strided-base-stride2offset": "^0.1.0",
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"@stdlib/types": "^0.4.3",
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"@stdlib/utils-define-nonenumerable-read-only-property": "^0.2.2"

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