docs: update namespace table of contents

PR-URL: #7491
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: stdlib-bot

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

@@ -155,12 +155,12 @@ var o = ns;
 -   <span class="signature">[`unaryInputCastingDataType( idtype, odtype, policy )`][@stdlib/ndarray/base/unary-input-casting-dtype]</span><span class="delimiter">: </span><span class="description">resolve the input ndarray casting data type for a unary function.</span>
 -   <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">[`unaryReduceStrided1dAssignStruct( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-strided1d-assign-struct]</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 which accepts an output `struct` object and assign results to a provided output ndarray.</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">[`unaryReduceStrided1dToStruct( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-strided1d-to-struct]</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>
 -   <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>
 -   <span class="signature">[`unaryReduceSubarrayBy( fcn, arrays, dims[, options], clbk[, thisArg] )`][@stdlib/ndarray/base/unary-reduce-subarray-by]</span><span class="delimiter">: </span><span class="description">perform a reduction over a list of specified dimensions in an input ndarray according to a callback function and assign results to a provided output ndarray.</span>
 -   <span class="signature">[`unaryReduceSubarray( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-subarray]</span><span class="delimiter">: </span><span class="description">perform a reduction over a list of specified dimensions in an input ndarray and assign results to a provided output ndarray.</span>
@@ -453,6 +453,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/unary-output-dtype]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-output-dtype
 
+[@stdlib/ndarray/base/unary-reduce-strided1d-assign-struct]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-assign-struct
+
 [@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
@@ -463,8 +465,6 @@ console.log( objectKeys( ns ) );
 
 [@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
 
-[@stdlib/ndarray/base/unary-reduce-strided1d-to-struct]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-to-struct
-
 [@stdlib/ndarray/base/unary-reduce-strided1d]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d
 
 [@stdlib/ndarray/base/unary-reduce-subarray-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-subarray-by

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

@@ -107,10 +107,10 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`stdevtk( N, correction, x, stride )`][@stdlib/stats/base/stdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass textbook algorithm.</span>
 -   <span class="signature">[`stdevwd( N, correction, x, stride )`][@stdlib/stats/base/stdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using Welford's algorithm.</span>
 -   <span class="signature">[`stdevyc( N, correction, x, stride )`][@stdlib/stats/base/stdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
--   <span class="signature">[`variance( N, correction, x, stride )`][@stdlib/stats/base/variance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array.</span>
+-   <span class="signature">[`variance( N, correction, x, strideX )`][@stdlib/stats/base/variance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array.</span>
 -   <span class="signature">[`variancech( N, correction, x, strideX )`][@stdlib/stats/base/variancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass trial mean algorithm.</span>
 -   <span class="signature">[`variancepn( N, correction, x, strideX )`][@stdlib/stats/base/variancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a two-pass algorithm.</span>
--   <span class="signature">[`variancetk( N, correction, x, stride )`][@stdlib/stats/base/variancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass textbook algorithm.</span>
+-   <span class="signature">[`variancetk( N, correction, x, strideX )`][@stdlib/stats/base/variancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass textbook algorithm.</span>
 -   <span class="signature">[`variancewd( N, correction, x, stride )`][@stdlib/stats/base/variancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using Welford's algorithm.</span>
 -   <span class="signature">[`varianceyc( N, correction, x, strideX )`][@stdlib/stats/base/varianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>