diff --git a/lib/node_modules/@stdlib/_tools/eslint/rules/README.md b/lib/node_modules/@stdlib/_tools/eslint/rules/README.md
index 34bf216d8c79..50a2ebcff5bd 100644
--- a/lib/node_modules/@stdlib/_tools/eslint/rules/README.md
+++ b/lib/node_modules/@stdlib/_tools/eslint/rules/README.md
@@ -58,6 +58,7 @@ var eslint = rules;
- [`empty-line-before-comment`][@stdlib/_tools/eslint/rules/empty-line-before-comment]: ESLint rule to enforce empty lines before comments.
- [`eol-open-bracket-spacing`][@stdlib/_tools/eslint/rules/eol-open-bracket-spacing]: 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.
- [`first-unit-test`][@stdlib/_tools/eslint/rules/first-unit-test]: ESLint rule to enforce that a tape file starts with the expected test.
+- [`line-closing-bracket-spacing`][@stdlib/_tools/eslint/rules/line-closing-bracket-spacing]: 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.
- [`module-exports-last`][@stdlib/_tools/eslint/rules/module-exports-last]: ESLint rule enforcing that export statements appear at the end of a file.
- [`namespace-export-all`][@stdlib/_tools/eslint/rules/namespace-export-all]: ESLint rule to enforce that a namespace `index.js` exports all packages in the respective namespace directory.
- [`namespace-index-order`][@stdlib/_tools/eslint/rules/namespace-index-order]: ESLint rule to enforce that modules in a namespace `index.js` file are listed in alphabetical order according to module name.
@@ -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
diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md
index 4eb493e97c01..5acb74d1ba42 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/base/README.md
@@ -102,7 +102,7 @@ The namespace contains the following statistical functions:
- [`dnanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskmax]: calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.
- [`dnanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskmin]: calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.
- [`dnanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskrange]: calculate the range of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.
-- [`dnanrange( N, x, stride )`][@stdlib/stats/base/dnanrange]: calculate the range of a double-precision floating-point strided array, ignoring `NaN` values.
+- [`dnanrange( N, x, strideX )`][@stdlib/stats/base/dnanrange]: calculate the range of a double-precision floating-point strided array, ignoring `NaN` values.
- [`dnanstdev( N, correction, x, stride )`][@stdlib/stats/base/dnanstdev]: calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values.
- [`dnanstdevch( N, correction, x, stride )`][@stdlib/stats/base/dnanstdevch]: calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.
- [`dnanstdevpn( N, correction, x, stride )`][@stdlib/stats/base/dnanstdevpn]: calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values and using a two-pass algorithm.
@@ -226,17 +226,17 @@ The namespace contains the following statistical functions:
- [`smskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/smskmin]: calculate the minimum value of a single-precision floating-point strided array according to a mask.
- [`smskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/smskrange]: calculate the range of a single-precision floating-point strided array according to a mask.
- [`snanmax( N, x, strideX )`][@stdlib/stats/base/snanmax]: calculate the maximum value of a single-precision floating-point strided array, ignoring `NaN` values.
-- [`snanmaxabs( N, x, stride )`][@stdlib/stats/base/snanmaxabs]: calculate the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.
+- [`snanmaxabs( N, x, strideX )`][@stdlib/stats/base/snanmaxabs]: calculate the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.
- [`snanmean( N, x, stride )`][@stdlib/stats/base/snanmean]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values.
- [`snanmeanors( N, x, stride )`][@stdlib/stats/base/snanmeanors]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation.
- [`snanmeanpn( N, x, stride )`][@stdlib/stats/base/snanmeanpn]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.
- [`snanmeanwd( N, x, stride )`][@stdlib/stats/base/snanmeanwd]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm.
- [`snanmin( N, x, strideX )`][@stdlib/stats/base/snanmin]: calculate the minimum value of a single-precision floating-point strided array, ignoring `NaN` values.
-- [`snanminabs( N, x, stride )`][@stdlib/stats/base/snanminabs]: calculate the minimum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.
+- [`snanminabs( N, x, strideX )`][@stdlib/stats/base/snanminabs]: calculate the minimum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.
- [`snanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskmax]: calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.
- [`snanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskmin]: calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.
- [`snanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskrange]: calculate the range of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.
-- [`snanrange( N, x, stride )`][@stdlib/stats/base/snanrange]: calculate the range of a single-precision floating-point strided array, ignoring `NaN` values.
+- [`snanrange( N, x, strideX )`][@stdlib/stats/base/snanrange]: calculate the range of a single-precision floating-point strided array, ignoring `NaN` values.
- [`snanstdev( N, correction, x, stride )`][@stdlib/stats/base/snanstdev]: calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values.
- [`snanstdevch( N, correction, x, stride )`][@stdlib/stats/base/snanstdevch]: calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.
- [`snanstdevpn( N, correction, x, stride )`][@stdlib/stats/base/snanstdevpn]: calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values and using a two-pass algorithm.