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Jun 22, 2025
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docs: update namespace table of contents #7445

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docs: update namespace table of contents
Planeshifter Jun 22, 2025
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Discard changes to lib/node_modules/@stdlib/number/float64/base/READM…
kgryte Jun 22, 2025
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6 changes: 0 additions & 6 deletions lib/node_modules/@stdlib/stats/base/README.md
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Expand Up @@ -115,8 +115,6 @@ The namespace contains the following statistical functions:
- <span class="signature">[`stdevtk( N, correction, x, stride )`][@stdlib/stats/base/stdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass textbook algorithm.</span>
- <span class="signature">[`stdevwd( N, correction, x, stride )`][@stdlib/stats/base/stdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using Welford's algorithm.</span>
- <span class="signature">[`stdevyc( N, correction, x, stride )`][@stdlib/stats/base/stdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
- <span class="signature">[`svariance( N, correction, x, strideX )`][@stdlib/stats/strided/svariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array.</span>
- <span class="signature">[`svariancewd( N, correction, x, strideX )`][@stdlib/stats/strided/svariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using Welford's algorithm.</span>
- <span class="signature">[`variance( N, correction, x, stride )`][@stdlib/stats/base/variance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array.</span>
- <span class="signature">[`variancech( N, correction, x, strideX )`][@stdlib/stats/base/variancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass trial mean algorithm.</span>
- <span class="signature">[`variancepn( N, correction, x, strideX )`][@stdlib/stats/base/variancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a two-pass algorithm.</span>
Expand Down Expand Up @@ -289,10 +287,6 @@ console.log( objectKeys( ns ) );

[@stdlib/stats/base/stdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevyc

[@stdlib/stats/strided/svariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariance

[@stdlib/stats/strided/svariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancewd

[@stdlib/stats/base/variance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/variance

[@stdlib/stats/base/variancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/variancech
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