docs: update namespace table of contents

PR-URL: #4965

Reviewed-by: Philipp Burckhardt <[email protected]>
Signed-off-by: stdlib-bot <[email protected]>

Author: stdlib-bot

lib/node_modules/@stdlib/blas/ext/base/README.md

@@ -116,7 +116,7 @@ var ns = extblas;
 -   <span class="signature">[`gsorthp( N, order, x, stride )`][@stdlib/blas/ext/base/gsorthp]</span><span class="delimiter">: </span><span class="description">sort a strided array using heapsort.</span>
 -   <span class="signature">[`gsortins( N, order, x, stride )`][@stdlib/blas/ext/base/gsortins]</span><span class="delimiter">: </span><span class="description">sort a strided array using insertion sort.</span>
 -   <span class="signature">[`gsortsh( N, order, x, stride )`][@stdlib/blas/ext/base/gsortsh]</span><span class="delimiter">: </span><span class="description">sort a strided array using Shellsort.</span>
--   <span class="signature">[`gsum( N, x, stride )`][@stdlib/blas/ext/base/gsum]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements.</span>
+-   <span class="signature">[`gsum( N, x, strideX )`][@stdlib/blas/ext/base/gsum]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements.</span>
 -   <span class="signature">[`gsumkbn( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using an improved Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`gsumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`gsumors( N, x, strideX )`][@stdlib/blas/ext/base/gsumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using ordinary recursive summation.</span>

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

@@ -62,7 +62,6 @@ The namespace contains the following statistical functions:
 -   <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">[`dcumin( N, x, strideX, y, strideY )`][@stdlib/stats/base/dcumin]</span><span class="delimiter">: </span><span class="description">calculate the cumulative minimum of double-precision floating-point strided array elements.</span>
--   <span class="signature">[`dcuminabs( N, x, strideX, y, strideY )`][@stdlib/stats/strided/dcuminabs]</span><span class="delimiter">: </span><span class="description">calculate the cumulative minimum absolute value of double-precision floating-point strided array elements.</span>
 -   <span class="signature">[`dmaxabs( N, x, strideX )`][@stdlib/stats/base/dmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dmaxabssorted( N, x, strideX )`][@stdlib/stats/base/dmaxabssorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a sorted double-precision floating-point strided array.</span>
 -   <span class="signature">[`dmaxsorted( N, x, strideX )`][@stdlib/stats/base/dmaxsorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a sorted double-precision floating-point strided array.</span>
@@ -252,7 +251,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`sstdevpn( N, correction, x, stride )`][@stdlib/stats/base/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.</span>
 -   <span class="signature">[`sstdevtk( N, correction, x, strideX )`][@stdlib/stats/base/sstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.</span>
 -   <span class="signature">[`sstdevwd( N, correction, x, stride )`][@stdlib/stats/base/sstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.</span>
--   <span class="signature">[`sstdevyc( N, correction, x, stride )`][@stdlib/stats/base/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
+-   <span class="signature">[`sstdevyc( N, correction, x, strideX )`][@stdlib/stats/base/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
 -   <span class="signature">[`stdev( N, correction, x, stride )`][@stdlib/stats/base/stdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array.</span>
 -   <span class="signature">[`stdevch( N, correction, x, stride )`][@stdlib/stats/base/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
 -   <span class="signature">[`stdevpn( N, correction, x, stride )`][@stdlib/stats/base/stdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a two-pass algorithm.</span>
@@ -331,8 +330,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/dcumin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dcumin
 
-[@stdlib/stats/strided/dcuminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dcuminabs
-
 [@stdlib/stats/base/dmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmaxabs
 
 [@stdlib/stats/base/dmaxabssorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmaxabssorted