docs: update namespace table of contents

PR-URL: stdlib-js#6317
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: stdlib-bot

lib/node_modules/@stdlib/ndarray/README.md

@@ -83,6 +83,7 @@ In addition, the namespace contains the following multidimensional array utility
 -   <span class="signature">[`emptyLike( x[, options] )`][@stdlib/ndarray/empty-like]</span><span class="delimiter">: </span><span class="description">create an uninitialized ndarray having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`empty( shape[, options] )`][@stdlib/ndarray/empty]</span><span class="delimiter">: </span><span class="description">create an uninitialized ndarray having a specified shape and data type.</span>
 -   <span class="signature">[`FancyArray( dtype, buffer, shape, strides, offset, order[, options] )`][@stdlib/ndarray/fancy]</span><span class="delimiter">: </span><span class="description">fancy multidimensional array constructor.</span>
+-   <span class="signature">[`fill( x, value )`][@stdlib/ndarray/fill]</span><span class="delimiter">: </span><span class="description">fill an input `ndarray` with a specified value.</span>
 -   <span class="signature">[`filterMap( x[, options], fcn[, thisArg] )`][@stdlib/ndarray/filter-map]</span><span class="delimiter">: </span><span class="description">filter and map elements in an input ndarray to elements in a new output ndarray according to a callback function.</span>
 -   <span class="signature">[`filter( x[, options], predicate[, thisArg] )`][@stdlib/ndarray/filter]</span><span class="delimiter">: </span><span class="description">return a shallow copy of an ndarray containing only those elements which pass a test implemented by a predicate function.</span>
 -   <span class="signature">[`flag( x, name )`][@stdlib/ndarray/flag]</span><span class="delimiter">: </span><span class="description">return a specified flag for a provided ndarray.</span>
@@ -192,6 +193,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/fancy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/fancy
 
+[@stdlib/ndarray/fill]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/fill
+
 [@stdlib/ndarray/filter-map]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/filter-map
 
 [@stdlib/ndarray/filter]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/filter

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

@@ -72,6 +72,7 @@ var o = ns;
 -   <span class="signature">[`emptyLike( x )`][@stdlib/ndarray/base/empty-like]</span><span class="delimiter">: </span><span class="description">create an uninitialized ndarray having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`empty( dtype, shape, order )`][@stdlib/ndarray/base/empty]</span><span class="delimiter">: </span><span class="description">create an uninitialized ndarray having a specified shape and data type.</span>
 -   <span class="signature">[`expandDimensions( x, axis )`][@stdlib/ndarray/base/expand-dimensions]</span><span class="delimiter">: </span><span class="description">expand the shape of an array by inserting a new dimension of size one at a specified axis.</span>
+-   <span class="signature">[`fillBy( x, fcn[, thisArg] )`][@stdlib/ndarray/base/fill-by]</span><span class="delimiter">: </span><span class="description">fill an input ndarray according to a callback function.</span>
 -   <span class="signature">[`fill( x, value )`][@stdlib/ndarray/base/fill]</span><span class="delimiter">: </span><span class="description">fill an input ndarray with a specified value.</span>
 -   <span class="signature">[`flag( x, name )`][@stdlib/ndarray/base/flag]</span><span class="delimiter">: </span><span class="description">return a specified flag for a provided ndarray.</span>
 -   <span class="signature">[`flags( x, copy )`][@stdlib/ndarray/base/flags]</span><span class="delimiter">: </span><span class="description">return the flags of a provided ndarray.</span>
@@ -259,6 +260,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/expand-dimensions]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/expand-dimensions
 
+[@stdlib/ndarray/base/fill-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/fill-by
+
 [@stdlib/ndarray/base/fill]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/fill
 
 [@stdlib/ndarray/base/flag]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/flag

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

@@ -135,7 +135,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`meanors( N, x, stride )`][@stdlib/stats/base/meanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using ordinary recursive summation.</span>
 -   <span class="signature">[`meanpn( N, x, stride )`][@stdlib/stats/base/meanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.</span>
 -   <span class="signature">[`meanpw( N, x, stride )`][@stdlib/stats/base/meanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using pairwise summation.</span>
--   <span class="signature">[`meanwd( N, x, stride )`][@stdlib/stats/base/meanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using Welford's algorithm.</span>
+-   <span class="signature">[`meanwd( N, x, strideX )`][@stdlib/stats/base/meanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using Welford's algorithm.</span>
 -   <span class="signature">[`mediansorted( N, x, strideX )`][@stdlib/stats/base/mediansorted]</span><span class="delimiter">: </span><span class="description">calculate the median value of a sorted strided array.</span>
 -   <span class="signature">[`minBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/base/min-by]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array via a callback function.</span>
 -   <span class="signature">[`min( N, x, strideX )`][@stdlib/stats/base/min]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array.</span>