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Author: stdlib-bot

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2025-11-30)
+## Unreleased (2025-12-01)
 
 <section class="features">
 
@@ -3480,6 +3480,7 @@ A total of 557 issues were closed in this release:
 
 <details>
 
+-   [`b55b024`](https://github.com/stdlib-js/stdlib/commit/b55b0244c489e33a24298fe28fbb8ae7be0846ad) - **docs:** update namespace table of contents [(#8672)](https://github.com/stdlib-js/stdlib/pull/8672) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`10ab0d9`](https://github.com/stdlib-js/stdlib/commit/10ab0d97e9b0ac1fe4a27bdc64fa8646df4dff88) - **feat:** add `stats/base/ndarray/nanrange` [(#8642)](https://github.com/stdlib-js/stdlib/pull/8642) _(by Pratik)_
 -   [`be4ce52`](https://github.com/stdlib-js/stdlib/commit/be4ce524621e636ab04b9940df550dff7dc93aa5) - **docs:** update examples to use explicit dtype _(by Athan Reines)_
 -   [`7d92c02`](https://github.com/stdlib-js/stdlib/commit/7d92c02e873280404a69091107eec08afc1cbb74) - **docs:** fix typos and missing require in mediansorted packages _(by Philipp Burckhardt)_

base/ndarray/README.md

@@ -85,7 +85,7 @@ The namespace exposes the following APIs:
 -   <span class="signature">[`maxsorted( arrays )`][@stdlib/stats/base/ndarray/maxsorted]</span><span class="delimiter">: </span><span class="description">compute the maximum value of a sorted one-dimensional ndarray.</span>
 -   <span class="signature">[`mean( arrays )`][@stdlib/stats/base/ndarray/mean]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional ndarray.</span>
 -   <span class="signature">[`meankbn( arrays )`][@stdlib/stats/base/ndarray/meankbn]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional ndarray using an improved Kahan–Babuška algorithm.</span>
--   <span class="signature">[`meankbn2( arrays )`][@stdlib/stats/base/ndarray/meankbn2]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional ndarray using a second-order Kahan–Babuška algorithm.</span>
+-   <span class="signature">[`meankbn2( arrays )`][@stdlib/stats/base/ndarray/meankbn2]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional ndarray using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`meanors( arrays )`][@stdlib/stats/base/ndarray/meanors]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional ndarray using ordinary recursive summation.</span>
 -   <span class="signature">[`meanpn( arrays )`][@stdlib/stats/base/ndarray/meanpn]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional ndarray using a two-pass error correction algorithm.</span>
 -   <span class="signature">[`meanpw( arrays )`][@stdlib/stats/base/ndarray/meanpw]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional ndarray using pairwise summation.</span>
@@ -120,7 +120,7 @@ The namespace exposes the following APIs:
 -   <span class="signature">[`smeankbn( arrays )`][@stdlib/stats/base/ndarray/smeankbn]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`smeankbn2( arrays )`][@stdlib/stats/base/ndarray/smeankbn2]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional single-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`smeanli( arrays )`][@stdlib/stats/base/ndarray/smeanli]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional single-precision floating-point ndarray using a one-pass trial mean algorithm.</span>
--   <span class="signature">[`smeanlipw( arrays )`][@stdlib/stats/base/ndarray/smeanlipw]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional double-precision floating-point ndarray using a one-pass trial mean algorithm with pairwise summation.</span>
+-   <span class="signature">[`smeanlipw( arrays )`][@stdlib/stats/base/ndarray/smeanlipw]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional single-precision floating-point ndarray using a one-pass trial mean algorithm with pairwise summation.</span>
 -   <span class="signature">[`smeanpn( arrays )`][@stdlib/stats/base/ndarray/smeanpn]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional single-precision floating-point ndarray using a two-pass error correction algorithm.</span>
 -   <span class="signature">[`smeanpw( arrays )`][@stdlib/stats/base/ndarray/smeanpw]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional single-precision floating-point ndarray using pairwise summation.</span>
 -   <span class="signature">[`smeanwd( arrays )`][@stdlib/stats/base/ndarray/smeanwd]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean of a one-dimensional single-precision floating-point ndarray using Welford's algorithm.</span>