docs: update namespace table of contents

PR-URL: #7222
Reviewed-by: Athan Reines <[email protected]>

Author: stdlib-bot

lib/node_modules/@stdlib/stats/base/README.md

@@ -61,7 +61,6 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`cumaxabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/cumaxabs]</span><span class="delimiter">: </span><span class="description">calculate the cumulative maximum absolute value of a strided array.</span>
 -   <span class="signature">[`cumin( N, x, strideX, y, strideY )`][@stdlib/stats/base/cumin]</span><span class="delimiter">: </span><span class="description">calculate the cumulative minimum of a strided array.</span>
 -   <span class="signature">[`cuminabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/cuminabs]</span><span class="delimiter">: </span><span class="description">calculate the cumulative minimum absolute value of a strided array.</span>
--   <span class="signature">[`dmean( N, x, strideX )`][@stdlib/stats/strided/dmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dmeanpn( N, x, strideX )`][@stdlib/stats/base/dmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
 -   <span class="signature">[`dmeanstdev( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanstdev]</span><span class="delimiter">: </span><span class="description">calculate the mean and standard deviation of a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dmeanstdevpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.</span>
@@ -95,12 +94,12 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`mskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/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/base/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/base/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, stride, 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">[`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, stride )`][@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>
+-   <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>
 -   <span class="signature">[`nanmean( N, x, stride )`][@stdlib/stats/base/nanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values.</span>
 -   <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>
--   <span class="signature">[`nanmeanpn( N, x, stride )`][@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>
+-   <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>
 -   <span class="signature">[`nanmeanwd( N, x, stride )`][@stdlib/stats/base/nanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values and using Welford's algorithm.</span>
 -   <span class="signature">[`nanminBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/base/nanmin-by]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array via a callback function, ignoring `NaN` values.</span>
 -   <span class="signature">[`nanmin( N, x, strideX )`][@stdlib/stats/base/nanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array, ignoring `NaN` values.</span>
@@ -223,8 +222,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/cuminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/cuminabs
 
-[@stdlib/stats/strided/dmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmean
-
 [@stdlib/stats/base/dmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmeanpn
 
 [@stdlib/stats/base/dmeanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmeanstdev