docs: update namespace table of contents

PR-URL: stdlib-js#4337

Co-authored-by: Philipp Burckhardt <[email protected]>
Reviewed-by: Philipp Burckhardt <[email protected]>
Signed-off-by: stdlib-bot <[email protected]>

Author: 2 people

lib/node_modules/@stdlib/_tools/eslint/rules/README.md

@@ -58,6 +58,7 @@ var eslint = rules;
 -   <span class="signature">[`empty-line-before-comment`][@stdlib/_tools/eslint/rules/empty-line-before-comment]</span><span class="delimiter">: </span><span class="description">ESLint rule to enforce empty lines before comments.</span>
 -   <span class="signature">[`eol-open-bracket-spacing`][@stdlib/_tools/eslint/rules/eol-open-bracket-spacing]</span><span class="delimiter">: </span><span class="description">ESLint rule to enforce that no spaces are present between an opening parenthesis or bracket and a nested object or array expression at the end of a line.</span>
 -   <span class="signature">[`first-unit-test`][@stdlib/_tools/eslint/rules/first-unit-test]</span><span class="delimiter">: </span><span class="description">ESLint rule to enforce that a tape file starts with the expected test.</span>
+-   <span class="signature">[`line-closing-bracket-spacing`][@stdlib/_tools/eslint/rules/line-closing-bracket-spacing]</span><span class="delimiter">: </span><span class="description">ESLint rule to enforce that no spaces are present between a closing parenthesis or bracket and a nested object or array expression at the beginning of a line.</span>
 -   <span class="signature">[`module-exports-last`][@stdlib/_tools/eslint/rules/module-exports-last]</span><span class="delimiter">: </span><span class="description">ESLint rule enforcing that export statements appear at the end of a file.</span>
 -   <span class="signature">[`namespace-export-all`][@stdlib/_tools/eslint/rules/namespace-export-all]</span><span class="delimiter">: </span><span class="description">ESLint rule to enforce that a namespace `index.js` exports all packages in the respective namespace directory.</span>
 -   <span class="signature">[`namespace-index-order`][@stdlib/_tools/eslint/rules/namespace-index-order]</span><span class="delimiter">: </span><span class="description">ESLint rule to enforce that modules in a namespace `index.js` file are listed in alphabetical order according to module name.</span>
@@ -377,6 +378,8 @@ console.log( getKeys( rules ) );
 
 [@stdlib/_tools/eslint/rules/first-unit-test]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/_tools/eslint/rules/first-unit-test
 
+[@stdlib/_tools/eslint/rules/line-closing-bracket-spacing]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/_tools/eslint/rules/line-closing-bracket-spacing
+
 [@stdlib/_tools/eslint/rules/module-exports-last]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/_tools/eslint/rules/module-exports-last
 
 [@stdlib/_tools/eslint/rules/namespace-export-all]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/_tools/eslint/rules/namespace-export-all

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

@@ -102,7 +102,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dnanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/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/base/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/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">[`dnanrange( N, x, stride )`][@stdlib/stats/base/dnanrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array, ignoring `NaN` values.</span>
+-   <span class="signature">[`dnanrange( N, x, strideX )`][@stdlib/stats/base/dnanrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array, 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">[`dnanstdevch( N, correction, x, stride )`][@stdlib/stats/base/dnanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.</span>
 -   <span class="signature">[`dnanstdevpn( N, correction, x, stride )`][@stdlib/stats/base/dnanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values and using a two-pass algorithm.</span>
@@ -226,17 +226,17 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`smskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/smskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array according to a mask.</span>
 -   <span class="signature">[`smskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/smskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array according to a mask.</span>
 -   <span class="signature">[`snanmax( N, x, strideX )`][@stdlib/stats/base/snanmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
--   <span class="signature">[`snanmaxabs( N, x, stride )`][@stdlib/stats/base/snanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
+-   <span class="signature">[`snanmaxabs( N, x, strideX )`][@stdlib/stats/base/snanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`snanmean( N, x, stride )`][@stdlib/stats/base/snanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`snanmeanors( N, x, stride )`][@stdlib/stats/base/snanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation.</span>
 -   <span class="signature">[`snanmeanpn( N, x, stride )`][@stdlib/stats/base/snanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.</span>
 -   <span class="signature">[`snanmeanwd( N, x, stride )`][@stdlib/stats/base/snanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm.</span>
 -   <span class="signature">[`snanmin( N, x, strideX )`][@stdlib/stats/base/snanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
--   <span class="signature">[`snanminabs( N, x, stride )`][@stdlib/stats/base/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
+-   <span class="signature">[`snanminabs( N, x, strideX )`][@stdlib/stats/base/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`snanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
 -   <span class="signature">[`snanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
 -   <span class="signature">[`snanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
--   <span class="signature">[`snanrange( N, x, stride )`][@stdlib/stats/base/snanrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array, ignoring `NaN` values.</span>
+-   <span class="signature">[`snanrange( N, x, strideX )`][@stdlib/stats/base/snanrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`snanstdev( N, correction, x, stride )`][@stdlib/stats/base/snanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values.</span>
 -   <span class="signature">[`snanstdevch( N, correction, x, stride )`][@stdlib/stats/base/snanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.</span>
 -   <span class="signature">[`snanstdevpn( N, correction, x, stride )`][@stdlib/stats/base/snanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values and using a two-pass algorithm.</span>