docs: update namespace table of contents

PR-URL: #6819

Co-authored-by: Philipp Burckhardt <pburckhardt@outlook.com>
Reviewed-by: Philipp Burckhardt <pburckhardt@outlook.com>
Signed-off-by: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com>

Author: stdlib-bot

lib/node_modules/@stdlib/blas/ext/README.md

@@ -46,6 +46,7 @@ The namespace contains the following:
 <div class="namespace-toc">
 
 -   <span class="signature">[`base`][@stdlib/blas/ext/base]</span><span class="delimiter">: </span><span class="description">base (i.e., lower-level) extensions to basic linear algebra subprograms (BLAS).</span>
+-   <span class="signature">[`sum( x[, options] )`][@stdlib/blas/ext/sum]</span><span class="delimiter">: </span><span class="description">compute the sum along one or more ndarray dimensions.</span>
 
 </div>
 
@@ -90,6 +91,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/ext/base]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base
 
+[@stdlib/blas/ext/sum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/sum
+
 <!-- </toc-links> -->
 
 </section>

lib/node_modules/@stdlib/blas/ext/base/README.md

@@ -43,6 +43,7 @@ var o = ns;
 
 <div class="namespace-toc">
 
+-   <span class="signature">[`cfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/cfill]</span><span class="delimiter">: </span><span class="description">fill a single-precision complex floating-point strided array with a specified scalar constant.</span>
 -   <span class="signature">[`dapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapx]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each element in a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum.</span>
 -   <span class="signature">[`dapxsumkbn( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>
@@ -121,6 +122,7 @@ var o = ns;
 -   <span class="signature">[`gsumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`gsumors( N, x, strideX )`][@stdlib/blas/ext/base/gsumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using ordinary recursive summation.</span>
 -   <span class="signature">[`gsumpw( N, x, strideX )`][@stdlib/blas/ext/base/gsumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using pairwise summation.</span>
+-   <span class="signature">[`ndarray`][@stdlib/blas/ext/base/ndarray]</span><span class="delimiter">: </span><span class="description">base ndarray extended BLAS functions.</span>
 -   <span class="signature">[`sapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapx]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each element in a single-precision floating-point strided array.</span>
 -   <span class="signature">[`sapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum.</span>
 -   <span class="signature">[`sapxsumkbn( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>
@@ -158,6 +160,7 @@ var o = ns;
 -   <span class="signature">[`ssumors( N, x, strideX )`][@stdlib/blas/ext/base/ssumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.</span>
 -   <span class="signature">[`ssumpw( N, x, strideX )`][@stdlib/blas/ext/base/ssumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using pairwise summation.</span>
 -   <span class="signature">[`wasm`][@stdlib/blas/ext/base/wasm]</span><span class="delimiter">: </span><span class="description">extensions to basic linear algebra subprograms (BLAS) compiled to WebAssembly.</span>
+-   <span class="signature">[`zfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/zfill]</span><span class="delimiter">: </span><span class="description">fill a double-precision complex floating-point strided array with a specified scalar constant.</span>
 
 </div>
 
@@ -208,6 +211,8 @@ console.log( objectKeys( ns ) );
 
 <!-- <toc-links> -->
 
+[@stdlib/blas/ext/base/cfill]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/cfill
+
 [@stdlib/blas/ext/base/dapx]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/dapx
 
 [@stdlib/blas/ext/base/dapxsum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/dapxsum
@@ -364,6 +369,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/ext/base/gsumpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gsumpw
 
+[@stdlib/blas/ext/base/ndarray]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray
+
 [@stdlib/blas/ext/base/sapx]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/sapx
 
 [@stdlib/blas/ext/base/sapxsum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/sapxsum
@@ -438,6 +445,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/ext/base/wasm]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/wasm
 
+[@stdlib/blas/ext/base/zfill]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/zfill
+
 <!-- </toc-links> -->
 
 </section>

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

@@ -43,6 +43,17 @@ The namespace exposes the following APIs:
 
 <!-- <toc pattern="*"> -->
 
+<div class="namespace-toc">
+
+-   <span class="signature">[`dcusum( arrays )`][@stdlib/blas/ext/base/ndarray/dcusum]</span><span class="delimiter">: </span><span class="description">compute the cumulative sum of a one-dimensional double-precision floating-point ndarray.</span>
+-   <span class="signature">[`dsum( arrays )`][@stdlib/blas/ext/base/ndarray/dsum]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional double-precision floating-point ndarray.</span>
+-   <span class="signature">[`gcusum( arrays )`][@stdlib/blas/ext/base/ndarray/gcusum]</span><span class="delimiter">: </span><span class="description">compute the cumulative sum of a one-dimensional ndarray.</span>
+-   <span class="signature">[`gsum( arrays )`][@stdlib/blas/ext/base/ndarray/gsum]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional ndarray.</span>
+-   <span class="signature">[`scusum( arrays )`][@stdlib/blas/ext/base/ndarray/scusum]</span><span class="delimiter">: </span><span class="description">compute the cumulative sum of a one-dimensional single-precision floating-point ndarray.</span>
+-   <span class="signature">[`ssum( arrays )`][@stdlib/blas/ext/base/ndarray/ssum]</span><span class="delimiter">: </span><span class="description">compute the sum of all elements in a one-dimensional single-precision floating-point ndarray.</span>
+
+</div>
+
 <!-- </toc> -->
 
 </section>
@@ -80,6 +91,22 @@ console.log( objectKeys( ns ) );
 
 <section class="links">
 
+<!-- <toc-links> -->
+
+[@stdlib/blas/ext/base/ndarray/dcusum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dcusum
+
+[@stdlib/blas/ext/base/ndarray/dsum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/dsum
+
+[@stdlib/blas/ext/base/ndarray/gcusum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gcusum
+
+[@stdlib/blas/ext/base/ndarray/gsum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/gsum
+
+[@stdlib/blas/ext/base/ndarray/scusum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/scusum
+
+[@stdlib/blas/ext/base/ndarray/ssum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ndarray/ssum
+
+<!-- </toc-links> -->
+
 </section>
 
 <!-- /.links -->

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

@@ -46,6 +46,7 @@ var o = ns;
 -   <span class="signature">[`hasEqualShape( x, y )`][@stdlib/ndarray/base/assert/has-equal-shape]</span><span class="delimiter">: </span><span class="description">test if two ndarrays have the same shape.</span>
 -   <span class="signature">[`isAllowedDataTypeCast( from, to, casting )`][@stdlib/ndarray/base/assert/is-allowed-data-type-cast]</span><span class="delimiter">: </span><span class="description">determine whether an ndarray data type can be cast to another ndarray data type according to a specified casting mode.</span>
 -   <span class="signature">[`isBooleanDataType( value )`][@stdlib/ndarray/base/assert/is-boolean-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray boolean data type.</span>
+-   <span class="signature">[`isBooleanIndexDataType( value )`][@stdlib/ndarray/base/assert/is-boolean-index-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray boolean index data type.</span>
 -   <span class="signature">[`isBufferLengthCompatibleShape( len, shape )`][@stdlib/ndarray/base/assert/is-buffer-length-compatible-shape]</span><span class="delimiter">: </span><span class="description">determine if a buffer length is compatible with an array shape.</span>
 -   <span class="signature">[`isBufferLengthCompatible( len, shape, strides, offset )`][@stdlib/ndarray/base/assert/is-buffer-length-compatible]</span><span class="delimiter">: </span><span class="description">determine if a buffer length is compatible with ndarray meta data.</span>
 -   <span class="signature">[`isCastingMode( value )`][@stdlib/ndarray/base/assert/is-casting-mode]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray casting mode.</span>
@@ -56,8 +57,11 @@ var o = ns;
 -   <span class="signature">[`isContiguous( shape, strides, offset )`][@stdlib/ndarray/base/assert/is-contiguous]</span><span class="delimiter">: </span><span class="description">determine if an array is contiguous.</span>
 -   <span class="signature">[`isDataType( value )`][@stdlib/ndarray/base/assert/is-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray data type.</span>
 -   <span class="signature">[`isFloatingPointDataType( value )`][@stdlib/ndarray/base/assert/is-floating-point-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray floating-point data type.</span>
+-   <span class="signature">[`isIndexDataType( value )`][@stdlib/ndarray/base/assert/is-index-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray index data type.</span>
 -   <span class="signature">[`isIndexMode( value )`][@stdlib/ndarray/base/assert/is-index-mode]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray index mode.</span>
 -   <span class="signature">[`isIntegerDataType( value )`][@stdlib/ndarray/base/assert/is-integer-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray integer data type.</span>
+-   <span class="signature">[`isIntegerIndexDataType( value )`][@stdlib/ndarray/base/assert/is-integer-index-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray integer index data type.</span>
+-   <span class="signature">[`isMaskIndexDataType( value )`][@stdlib/ndarray/base/assert/is-mask-index-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray mask index data type.</span>
 -   <span class="signature">[`isMostlySafeDataTypeCast( from, to )`][@stdlib/ndarray/base/assert/is-mostly-safe-data-type-cast]</span><span class="delimiter">: </span><span class="description">determine whether an ndarray data type can be safely cast or, for floating-point data types, downcast to another ndarray data type.</span>
 -   <span class="signature">[`isNumericDataType( value )`][@stdlib/ndarray/base/assert/is-numeric-data-type]</span><span class="delimiter">: </span><span class="description">test if an input value is a supported ndarray numeric data type.</span>
 -   <span class="signature">[`isOrder( value )`][@stdlib/ndarray/base/assert/is-order]</span><span class="delimiter">: </span><span class="description">test if an input value is an ndarray order.</span>
@@ -122,6 +126,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/assert/is-boolean-data-type]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/assert/is-boolean-data-type
 
+[@stdlib/ndarray/base/assert/is-boolean-index-data-type]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/assert/is-boolean-index-data-type
+
 [@stdlib/ndarray/base/assert/is-buffer-length-compatible-shape]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/assert/is-buffer-length-compatible-shape
 
 [@stdlib/ndarray/base/assert/is-buffer-length-compatible]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/assert/is-buffer-length-compatible
@@ -142,10 +148,16 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/assert/is-floating-point-data-type]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/assert/is-floating-point-data-type
 
+[@stdlib/ndarray/base/assert/is-index-data-type]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/assert/is-index-data-type
+
 [@stdlib/ndarray/base/assert/is-index-mode]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/assert/is-index-mode
 
 [@stdlib/ndarray/base/assert/is-integer-data-type]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/assert/is-integer-data-type
 
+[@stdlib/ndarray/base/assert/is-integer-index-data-type]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/assert/is-integer-index-data-type
+
+[@stdlib/ndarray/base/assert/is-mask-index-data-type]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/assert/is-mask-index-data-type
+
 [@stdlib/ndarray/base/assert/is-mostly-safe-data-type-cast]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/assert/is-mostly-safe-data-type-cast
 
 [@stdlib/ndarray/base/assert/is-numeric-data-type]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/assert/is-numeric-data-type

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

@@ -72,7 +72,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dnanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/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, stride )`][@stdlib/stats/base/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, stride )`][@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, stride )`][@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">[`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, stride )`][@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>
 -   <span class="signature">[`dvarm( N, mean, correction, x, stride )`][@stdlib/stats/base/dvarm]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array provided a known mean.</span>
 -   <span class="signature">[`dvarmpn( N, mean, correction, x, stride )`][@stdlib/stats/base/dvarmpn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.</span>