docs: update namespace table of contents

PR-URL: #7243
Reviewed-by: Athan Reines <[email protected]>

Author: stdlib-bot

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

@@ -155,6 +155,8 @@ var o = ns;
 -   <span class="signature">[`unaryLoopOrder( shape, stridesX, stridesY )`][@stdlib/ndarray/base/unary-loop-interchange-order]</span><span class="delimiter">: </span><span class="description">reorder ndarray dimensions and associated strides for loop interchange.</span>
 -   <span class="signature">[`unaryOutputDataType( dtype, policy )`][@stdlib/ndarray/base/unary-output-dtype]</span><span class="delimiter">: </span><span class="description">resolve the output ndarray data type for a unary function.</span>
 -   <span class="signature">[`unaryReduceStrided1dBy( fcn, arrays, dims[, options], clbk[, thisArg] )`][@stdlib/ndarray/base/unary-reduce-strided1d-by]</span><span class="delimiter">: </span><span class="description">perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function accepting a callback and assign results to a provided output ndarray.</span>
+-   <span class="signature">[`unaryReduceStrided1dDispatchByFactory( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-by-factory]</span><span class="delimiter">: </span><span class="description">create a function for performing a reduction on an input ndarray according to a callback function.</span>
+-   <span class="signature">[`unaryReduceStrided1dDispatchBy( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-by]</span><span class="delimiter">: </span><span class="description">constructor for performing a reduction on an input ndarray according to a callback function.</span>
 -   <span class="signature">[`unaryReduceStrided1dDispatchFactory( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-factory]</span><span class="delimiter">: </span><span class="description">create a function for performing a reduction on an input ndarray.</span>
 -   <span class="signature">[`unaryReduceStrided1dDispatch( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch]</span><span class="delimiter">: </span><span class="description">constructor for performing a reduction on an input ndarray.</span>
 -   <span class="signature">[`unaryReduceStrided1d( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-strided1d]</span><span class="delimiter">: </span><span class="description">perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function and assign results to a provided output ndarray.</span>
@@ -449,6 +451,10 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/unary-reduce-strided1d-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-by
 
+[@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-by-factory]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-dispatch-by-factory
+
+[@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-dispatch-by
+
 [@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-factory]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-dispatch-factory
 
 [@stdlib/ndarray/base/unary-reduce-strided1d-dispatch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-dispatch

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

@@ -113,6 +113,7 @@ Other statistical functions included are:
 -   <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">[`maxBy( x[, options], clbk[, thisArg] )`][@stdlib/stats/max-by]</span><span class="delimiter">: </span><span class="description">compute the maximum value along one or more ndarray dimensions according to a callback function.</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>
@@ -164,6 +165,8 @@ console.log( objectKeys( statistics ) );
 
 [@stdlib/stats/lowess]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/lowess
 
+[@stdlib/stats/max-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/max-by
+
 [@stdlib/stats/max]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/max
 
 [@stdlib/stats/padjust]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/padjust

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

@@ -65,10 +65,6 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dmeanstdevpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.</span>
 -   <span class="signature">[`dmeanvar( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvar]</span><span class="delimiter">: </span><span class="description">calculate the mean and variance of a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dmeanvarpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvarpn]</span><span class="delimiter">: </span><span class="description">calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.</span>
--   <span class="signature">[`dnanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dnanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
--   <span class="signature">[`dnanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dnanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
--   <span class="signature">[`dnanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dnanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
--   <span class="signature">[`dnanstdev( N, correction, x, strideX )`][@stdlib/stats/strided/dnanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values.</span>
 -   <span class="signature">[`dsem( N, correction, x, strideX )`][@stdlib/stats/base/dsem]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dsempn( N, correction, x, strideX )`][@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">[`dstdev( N, correction, x, strideX )`][@stdlib/stats/base/dstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array.</span>
@@ -229,14 +225,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/dmeanvarpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmeanvarpn
 
-[@stdlib/stats/strided/dnanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmskmax
-
-[@stdlib/stats/strided/dnanmskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmskmin
-
-[@stdlib/stats/strided/dnanmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmskrange
-
-[@stdlib/stats/strided/dnanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanstdev
-
 [@stdlib/stats/base/dsem]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsem
 
 [@stdlib/stats/base/dsempn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsempn