docs: update namespace table of contents

PR-URL: #4693

Co-authored-by: Philipp Burckhardt <[email protected]>
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

@@ -118,9 +118,9 @@ var ns = extblas;
 -   <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">[`gsumkbn( N, x, stride )`][@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, stride )`][@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, stride )`][@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>
--   <span class="signature">[`gsumpw( N, x, stride )`][@stdlib/blas/ext/base/gsumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using pairwise summation.</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>
+-   <span class="signature">[`gsumpw( N, x, strideX )`][@stdlib/blas/ext/base/gsumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using pairwise summation.</span>
 -   <span class="signature">[`sapx( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapx]</span><span class="delimiter">: </span><span class="description">add a constant to each element in a single-precision floating-point strided array.</span>
 -   <span class="signature">[`sapxsum( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapxsum]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum.</span>
 -   <span class="signature">[`sapxsumkbn( N, alpha, x, stride )`][@stdlib/blas/ext/base/sapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>

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

@@ -120,7 +120,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dsemch( N, correction, x, stride )`][@stdlib/stats/base/dsemch]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
 -   <span class="signature">[`dsempn( N, correction, x, stride )`][@stdlib/stats/base/dsempn]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using a two-pass algorithm.</span>
 -   <span class="signature">[`dsemtk( N, correction, x, stride )`][@stdlib/stats/base/dsemtk]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using a one-pass textbook algorithm.</span>
--   <span class="signature">[`dsemwd( N, correction, x, stride )`][@stdlib/stats/base/dsemwd]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using Welford's algorithm.</span>
+-   <span class="signature">[`dsemwd( N, correction, x, strideX )`][@stdlib/stats/base/dsemwd]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using Welford's algorithm.</span>
 -   <span class="signature">[`dsemyc( N, correction, x, stride )`][@stdlib/stats/base/dsemyc]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
 -   <span class="signature">[`dsmean( N, x, stride )`][@stdlib/stats/base/dsmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dsmeanors( N, x, stride )`][@stdlib/stats/base/dsmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.</span>