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CHANGELOG.md

@@ -21830,6 +21830,7 @@ A total of 57 people contributed to this release. Thank you to the following con
 
 <details>
 
+-   [`a7eb96f`](https://github.com/stdlib-js/stdlib/commit/a7eb96ff3260ae692875271ebf92116b25b9c99b) - **docs:** update namespace table of contents [(#6803)](https://github.com/stdlib-js/stdlib/pull/6803) _(by stdlib-bot)_
 -   [`22e441e`](https://github.com/stdlib-js/stdlib/commit/22e441e3ba728abb2a8b9853187dcec3169c1f7d) - **docs:** use consistent terms _(by Athan Reines)_
 -   [`75f4595`](https://github.com/stdlib-js/stdlib/commit/75f4595586d2dd4ff1fd13b17f5b88464d04e403) - **docs:** use consistent terms _(by Athan Reines)_
 -   [`241d973`](https://github.com/stdlib-js/stdlib/commit/241d9733f1c33c635badfb7f801125988c12b1e8) - **fix:** update dispatch table _(by Athan Reines)_

README.md

@@ -130,8 +130,10 @@ Other statistical functions included are:
 
 <div class="namespace-toc">
 
+-   <span class="signature">[`cumax( x[, options] )`][@stdlib/stats/cumax]</span><span class="delimiter">: </span><span class="description">compute the cumulative maximum value along one or more ndarray dimensions.</span>
 -   <span class="signature">[`kde2d()`][@stdlib/stats/kde2d]</span><span class="delimiter">: </span><span class="description">two-dimensional kernel density estimation.</span>
 -   <span class="signature">[`lowess( x, y[, opts] )`][@stdlib/stats/lowess]</span><span class="delimiter">: </span><span class="description">locally-weighted polynomial regression via the LOWESS algorithm.</span>
+-   <span class="signature">[`max( x[, options] )`][@stdlib/stats/max]</span><span class="delimiter">: </span><span class="description">compute the maximum value along one or more ndarray dimensions.</span>
 -   <span class="signature">[`padjust( pvals, method[, comparisons] )`][@stdlib/stats/padjust]</span><span class="delimiter">: </span><span class="description">adjust supplied p-values for multiple comparisons.</span>
 -   <span class="signature">[`ranks( arr[, opts] )`][@stdlib/stats/ranks]</span><span class="delimiter">: </span><span class="description">compute ranks for values of an array-like object.</span>
 
@@ -244,10 +246,14 @@ Copyright &copy; 2016-2025. The Stdlib [Authors][stdlib-authors].
 
 <!-- <toc-links> -->
 
+[@stdlib/stats/cumax]: https://github.com/stdlib-js/stats/tree/main/cumax
+
 [@stdlib/stats/kde2d]: https://github.com/stdlib-js/stats/tree/main/kde2d
 
 [@stdlib/stats/lowess]: https://github.com/stdlib-js/stats/tree/main/lowess
 
+[@stdlib/stats/max]: https://github.com/stdlib-js/stats/tree/main/max
+
 [@stdlib/stats/padjust]: https://github.com/stdlib-js/stats/tree/main/padjust
 
 [@stdlib/stats/ranks]: https://github.com/stdlib-js/stats/tree/main/ranks

base/ndarray/README.md

@@ -45,8 +45,11 @@ The namespace exposes the following APIs:
 
 <div class="namespace-toc">
 
+-   <span class="signature">[`cumax( arrays )`][@stdlib/stats/base/ndarray/cumax]</span><span class="delimiter">: </span><span class="description">compute the cumulative maximum value of a one-dimensional ndarray.</span>
+-   <span class="signature">[`dcumax( arrays )`][@stdlib/stats/base/ndarray/dcumax]</span><span class="delimiter">: </span><span class="description">compute the cumulative maximum value of a one-dimensional double-precision floating-point ndarray.</span>
 -   <span class="signature">[`dmax( arrays )`][@stdlib/stats/base/ndarray/dmax]</span><span class="delimiter">: </span><span class="description">compute the maximum value of a one-dimensional double-precision floating-point ndarray.</span>
 -   <span class="signature">[`max( arrays )`][@stdlib/stats/base/ndarray/max]</span><span class="delimiter">: </span><span class="description">compute the maximum value of a one-dimensional ndarray.</span>
+-   <span class="signature">[`scumax( arrays )`][@stdlib/stats/base/ndarray/scumax]</span><span class="delimiter">: </span><span class="description">compute the cumulative maximum value of a one-dimensional single-precision floating-point ndarray.</span>
 -   <span class="signature">[`smax( arrays )`][@stdlib/stats/base/ndarray/smax]</span><span class="delimiter">: </span><span class="description">compute the maximum value of a one-dimensional single-precision floating-point ndarray.</span>
 
 </div>
@@ -90,10 +93,16 @@ console.log( objectKeys( ns ) );
 
 <!-- <toc-links> -->
 
+[@stdlib/stats/base/ndarray/cumax]: https://github.com/stdlib-js/stats/tree/main/base/ndarray/cumax
+
+[@stdlib/stats/base/ndarray/dcumax]: https://github.com/stdlib-js/stats/tree/main/base/ndarray/dcumax
+
 [@stdlib/stats/base/ndarray/dmax]: https://github.com/stdlib-js/stats/tree/main/base/ndarray/dmax
 
 [@stdlib/stats/base/ndarray/max]: https://github.com/stdlib-js/stats/tree/main/base/ndarray/max
 
+[@stdlib/stats/base/ndarray/scumax]: https://github.com/stdlib-js/stats/tree/main/base/ndarray/scumax
+
 [@stdlib/stats/base/ndarray/smax]: https://github.com/stdlib-js/stats/tree/main/base/ndarray/smax
 
 <!-- </toc-links> -->