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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/base/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -158,7 +158,7 @@ The namespace contains the following statistical functions:
- <span class="signature">[`nanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/nanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array according to a mask, ignoring `NaN` values.</span>
- <span class="signature">[`nanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/nanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array according to a mask, ignoring `NaN` values.</span>
- <span class="signature">[`nanrangeBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/base/nanrange-by]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array via a callback function, ignoring `NaN` values.</span>
- <span class="signature">[`nanrange( N, x, stride )`][@stdlib/stats/base/nanrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array, ignoring `NaN` values.</span>
- <span class="signature">[`nanrange( N, x, strideX )`][@stdlib/stats/base/nanrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array, ignoring `NaN` values.</span>
- <span class="signature">[`nanstdev( N, correction, x, stride )`][@stdlib/stats/base/nanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring `NaN` values.</span>
- <span class="signature">[`nanstdevch( N, correction, x, stride )`][@stdlib/stats/base/nanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring `NaN` values and using a one-pass trial mean algorithm.</span>
- <span class="signature">[`nanstdevpn( N, correction, x, stride )`][@stdlib/stats/base/nanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring `NaN` values and using a two-pass algorithm.</span>
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