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docs: update namespace table of contents
PR-URL: #7364 Reviewed-by: Philipp Burckhardt <[email protected]> Signed-off-by: stdlib-bot <[email protected]>
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lib/node_modules/@stdlib/stats/base/README.md

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@@ -66,7 +66,6 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`dmeanvar( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvar]</span><span class="delimiter">: </span><span class="description">calculate the mean and variance of a double-precision floating-point strided array.</span>
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- <span class="signature">[`dmeanvarpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvarpn]</span><span class="delimiter">: </span><span class="description">calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.</span>
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- <span class="signature">[`dvarm( N, mean, correction, x, strideX )`][@stdlib/stats/base/dvarm]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array provided a known mean.</span>
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- <span class="signature">[`dvarmpn( N, mean, correction, x, strideX )`][@stdlib/stats/strided/dvarmpn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.</span>
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- <span class="signature">[`nanmean( N, x, strideX )`][@stdlib/stats/base/nanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values.</span>
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- <span class="signature">[`nanmeanors( N, x, stride )`][@stdlib/stats/base/nanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values and using ordinary recursive summation.</span>
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- <span class="signature">[`nanmeanpn( N, x, strideX )`][@stdlib/stats/base/nanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values and using a two-pass error correction algorithm.</span>
@@ -193,8 +192,6 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/dvarm]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvarm
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[@stdlib/stats/strided/dvarmpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvarmpn
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[@stdlib/stats/base/nanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmean
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[@stdlib/stats/base/nanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanors

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