docs: update namespace table of contents

PR-URL: #10668
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: stdlib-bot

lib/node_modules/@stdlib/stats/strided/distances/README.md

@@ -55,10 +55,12 @@ The namespace exports the following:
 
 <div class="namespace-toc">
 
+-   <span class="signature">[`dchebyshev( N, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/dchebyshev]</span><span class="delimiter">: </span><span class="description">compute the Chebyshev distance between two double-precision floating-point strided arrays.</span>
 -   <span class="signature">[`dcityblock( N, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/dcityblock]</span><span class="delimiter">: </span><span class="description">compute the city block (Manhattan) distance between two double-precision floating-point strided arrays.</span>
 -   <span class="signature">[`dcosineDistance( N, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/dcosine-distance]</span><span class="delimiter">: </span><span class="description">compute the cosine distance between two double-precision floating-point strided arrays.</span>
 -   <span class="signature">[`dcosineSimilarity( N, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/dcosine-similarity]</span><span class="delimiter">: </span><span class="description">compute the cosine similarity of two double-precision floating-point strided arrays.</span>
 -   <span class="signature">[`deuclidean( N, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/deuclidean]</span><span class="delimiter">: </span><span class="description">compute the Euclidean distance between two double-precision floating-point strided arrays.</span>
+-   <span class="signature">[`dminkowski( N, p, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/dminkowski]</span><span class="delimiter">: </span><span class="description">compute the Minkowski distance between two double-precision floating-point strided arrays.</span>
 -   <span class="signature">[`dsquaredEuclidean( N, x, strideX, y, strideY )`][@stdlib/stats/strided/distances/dsquared-euclidean]</span><span class="delimiter">: </span><span class="description">compute the squared Euclidean distance between two double-precision floating-point strided arrays.</span>
 
 </div>
@@ -112,6 +114,8 @@ console.log( objectKeys( ns ) );
 
 <!-- <toc-links> -->
 
+[@stdlib/stats/strided/distances/dchebyshev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/dchebyshev
+
 [@stdlib/stats/strided/distances/dcityblock]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/dcityblock
 
 [@stdlib/stats/strided/distances/dcosine-distance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/dcosine-distance
@@ -120,6 +124,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/strided/distances/deuclidean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/deuclidean
 
+[@stdlib/stats/strided/distances/dminkowski]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/dminkowski
+
 [@stdlib/stats/strided/distances/dsquared-euclidean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/distances/dsquared-euclidean
 
 <!-- </toc-links> -->