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-[`b00d9f1`](https://github.com/stdlib-js/stdlib/commit/b00d9f1064701187f48a05b9753e74ae835b0726) - **docs:** fix typing error in `repl.txt` of `stats/base/*`[(#4750)](https://github.com/stdlib-js/stdlib/pull/4750)_(by Aayush Khanna)_
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-[`7e63aad`](https://github.com/stdlib-js/stdlib/commit/7e63aad8c0b42330b0933973bddea8d1c5e84862) - **fix:** wrap function calls in `API_SUFFIX` in native addons [(#4646)](https://github.com/stdlib-js/stdlib/pull/4646)_(by Aayush Khanna)_
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-[`f229b4a`](https://github.com/stdlib-js/stdlib/commit/f229b4a8d90fd206460ad508f67da1578609cdbb) - **feat:** add C ndarray interface and refactor implementation for `stats/base/dstdevch`[(#4619)](https://github.com/stdlib-js/stdlib/pull/4619)_(by Aayush Khanna, Athan Reines)_
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## See Also
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- <span class="package-name">[`@stdlib/stats-base/dnanstdevch`][@stdlib/stats/base/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-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/dstdev`][@stdlib/stats/base/dstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats-base/dvariancech`][@stdlib/stats/base/dvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats-base/sstdevch`][@stdlib/stats/base/sstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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