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docs: update namespace table of contents #6175

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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/base/README.md
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Expand Up @@ -170,7 +170,7 @@ The namespace contains the following statistical functions:
- <span class="signature">[`nanvariancepn( N, correction, x, stride )`][@stdlib/stats/base/nanvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a two-pass algorithm.</span>
- <span class="signature">[`nanvariancetk( N, correction, x, stride )`][@stdlib/stats/base/nanvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a one-pass textbook algorithm.</span>
- <span class="signature">[`nanvariancewd( N, correction, x, stride )`][@stdlib/stats/base/nanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using Welford's algorithm.</span>
- <span class="signature">[`nanvarianceyc( N, correction, x, stride )`][@stdlib/stats/base/nanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
- <span class="signature">[`nanvarianceyc( N, correction, x, strideX )`][@stdlib/stats/base/nanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
- <span class="signature">[`rangeBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/base/range-by]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array via a callback function.</span>
- <span class="signature">[`range( N, x, stride )`][@stdlib/stats/base/range]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array.</span>
- <span class="signature">[`scumax( N, x, strideX, y, strideY )`][@stdlib/stats/base/scumax]</span><span class="delimiter">: </span><span class="description">calculate the cumulative maximum of single-precision floating-point strided array elements.</span>
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