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docs: update namespace table of contents #7300

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39 changes: 0 additions & 39 deletions lib/node_modules/@stdlib/stats/base/README.md
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Expand Up @@ -67,25 +67,12 @@ The namespace contains the following statistical functions:
- <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>
- <span class="signature">[`dvarm( N, mean, correction, x, stride )`][@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>
- <span class="signature">[`dvarmpn( N, mean, correction, x, stride )`][@stdlib/stats/base/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>
- <span class="signature">[`maxBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/strided/max-by]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array via a callback function.</span>
- <span class="signature">[`max( N, x, strideX )`][@stdlib/stats/strided/max]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array.</span>
- <span class="signature">[`maxabs( N, x, strideX )`][@stdlib/stats/strided/maxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a strided array.</span>
- <span class="signature">[`maxsorted( N, x, strideX )`][@stdlib/stats/strided/maxsorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a sorted strided array.</span>
- <span class="signature">[`mean( N, x, strideX )`][@stdlib/stats/strided/mean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array.</span>
- <span class="signature">[`meankbn( N, x, stride )`][@stdlib/stats/base/meankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm.</span>
- <span class="signature">[`meankbn2( N, x, stride )`][@stdlib/stats/base/meankbn2]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a second-order iterative Kahan–Babuška algorithm.</span>
- <span class="signature">[`meanors( N, x, stride )`][@stdlib/stats/base/meanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using ordinary recursive summation.</span>
- <span class="signature">[`meanpn( N, x, strideX )`][@stdlib/stats/base/meanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.</span>
- <span class="signature">[`meanpw( N, x, stride )`][@stdlib/stats/base/meanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using pairwise summation.</span>
- <span class="signature">[`meanwd( N, x, strideX )`][@stdlib/stats/base/meanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using Welford's algorithm.</span>
- <span class="signature">[`mediansorted( N, x, strideX )`][@stdlib/stats/strided/mediansorted]</span><span class="delimiter">: </span><span class="description">calculate the median value of a sorted strided array.</span>
- <span class="signature">[`minBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/strided/min-by]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array via a callback function.</span>
- <span class="signature">[`min( N, x, strideX )`][@stdlib/stats/strided/min]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array.</span>
- <span class="signature">[`minabs( N, x, strideX )`][@stdlib/stats/strided/minabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a strided array.</span>
- <span class="signature">[`minsorted( N, x, strideX )`][@stdlib/stats/strided/minsorted]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a sorted strided array.</span>
- <span class="signature">[`mskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array according to a mask.</span>
- <span class="signature">[`mskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array according to a mask.</span>
- <span class="signature">[`mskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array according to a mask.</span>
- <span class="signature">[`nanmaxBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/base/nanmax-by]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array via a callback function, ignoring `NaN` values.</span>
- <span class="signature">[`nanmax( N, x, strideX )`][@stdlib/stats/base/nanmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array, ignoring `NaN` values.</span>
- <span class="signature">[`nanmaxabs( N, x, strideX )`][@stdlib/stats/base/nanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a strided array, ignoring `NaN` values.</span>
Expand Down Expand Up @@ -220,16 +207,6 @@ console.log( objectKeys( ns ) );

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

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

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

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

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

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

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

[@stdlib/stats/base/meankbn2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meankbn2
Expand All @@ -242,22 +219,6 @@ console.log( objectKeys( ns ) );

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

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

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

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

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

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

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

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

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

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

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