diff --git a/lib/node_modules/@stdlib/_tools/eslint/rules/README.md b/lib/node_modules/@stdlib/_tools/eslint/rules/README.md
index 0a24d3fb80c7..7ed4913f92c4 100644
--- a/lib/node_modules/@stdlib/_tools/eslint/rules/README.md
+++ b/lib/node_modules/@stdlib/_tools/eslint/rules/README.md
@@ -81,6 +81,7 @@ var eslint = rules;
- [`repl-namespace-order`][@stdlib/_tools/eslint/rules/repl-namespace-order]: ESLint rule to enforce that packages are added to a REPL namespace object in alphabetical order according to alias (namespace key).
- [`require-file-extensions`][@stdlib/_tools/eslint/rules/require-file-extensions]: ESLint rule enforcing that `require()` calls of files end with a whitelisted file extension.
- [`require-globals`][@stdlib/_tools/eslint/rules/require-globals]: ESLint rule enforcing that specified global variables are explicitly required.
+- [`require-last-path-relative`][@stdlib/_tools/eslint/rules/require-last-path-relative]: ESLint rule enforcing that the last `require` statement is a relative path.
- [`require-leading-slash`][@stdlib/_tools/eslint/rules/require-leading-slash]: ESLint rule disallowing `require()` calls of relative paths which do not begin with a leading `./`.
- [`require-order`][@stdlib/_tools/eslint/rules/require-order]: ESLint rule enforcing a specified order of `require()` calls.
- [`require-spaces`][@stdlib/_tools/eslint/rules/require-spaces]: ESLint rule enforcing spaces in `require()` statements.
@@ -427,6 +428,8 @@ console.log( getKeys( rules ) );
[@stdlib/_tools/eslint/rules/require-globals]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/_tools/eslint/rules/require-globals
+[@stdlib/_tools/eslint/rules/require-last-path-relative]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/_tools/eslint/rules/require-last-path-relative
+
[@stdlib/_tools/eslint/rules/require-leading-slash]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/_tools/eslint/rules/require-leading-slash
[@stdlib/_tools/eslint/rules/require-order]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/_tools/eslint/rules/require-order
diff --git a/lib/node_modules/@stdlib/math/base/ops/README.md b/lib/node_modules/@stdlib/math/base/ops/README.md
index f7cadc9c6ce9..29ca3f4156a6 100644
--- a/lib/node_modules/@stdlib/math/base/ops/README.md
+++ b/lib/node_modules/@stdlib/math/base/ops/README.md
@@ -50,7 +50,6 @@ The namespace contains the following functions:
- [`cnegf( z )`][@stdlib/math/base/ops/cnegf]: negate a single-precision complex floating-point number.
- [`csub( z1, z2 )`][@stdlib/math/base/ops/csub]: subtract two double-precision complex floating-point numbers.
- [`csubf( z1, z2 )`][@stdlib/math/base/ops/csubf]: subtract two single-precision complex floating-point numbers.
-- [`divf( x, y )`][@stdlib/number/float32/base/div]: divide two single-precision floating-point numbers.
- [`imul( a, b )`][@stdlib/math/base/ops/imul]: perform C-like multiplication of two signed 32-bit integers.
- [`imuldw( a, b )`][@stdlib/math/base/ops/imuldw]: compute the double word product of two signed 32-bit integers.
- [`mulf( x, y )`][@stdlib/math/base/ops/mulf]: multiply two single-precision floating-point numbers.
@@ -138,8 +137,6 @@ console.log( ns.imuldw( 0x80000000|0, 0x40000000|0 ) );
[@stdlib/math/base/ops/csubf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/ops/csubf
-[@stdlib/number/float32/base/div]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/float32/base/div
-
[@stdlib/math/base/ops/imul]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/ops/imul
[@stdlib/math/base/ops/imuldw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/ops/imuldw
diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md
index fe1156f7e186..bb51f7f2ac3c 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/base/README.md
@@ -71,7 +71,6 @@ The namespace contains the following statistical functions:
- [`dmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskmax]: calculate the maximum value of a double-precision floating-point strided array according to a mask.
- [`dmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskmin]: calculate the minimum value of a double-precision floating-point strided array according to a mask.
- [`dmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskrange]: calculate the range of a double-precision floating-point strided array according to a mask.
-- [`dnanmean( N, x, strideX )`][@stdlib/stats/strided/dnanmean]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values.
- [`dnanmeanors( N, x, strideX )`][@stdlib/stats/base/dnanmeanors]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation.
- [`dnanmeanpn( N, x, strideX )`][@stdlib/stats/base/dnanmeanpn]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.
- [`dnanmeanpw( N, x, strideX )`][@stdlib/stats/base/dnanmeanpw]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using pairwise summation.
@@ -90,10 +89,10 @@ The namespace contains the following statistical functions:
- [`dnanstdevyc( N, correction, x, stride )`][@stdlib/stats/base/dnanstdevyc]: calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
- [`dnanvariance( N, correction, x, stride )`][@stdlib/stats/base/dnanvariance]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values.
- [`dnanvariancech( N, correction, x, stride )`][@stdlib/stats/base/dnanvariancech]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.
-- [`dnanvariancepn( N, correction, x, stride )`][@stdlib/stats/base/dnanvariancepn]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a two-pass algorithm.
+- [`dnanvariancepn( N, correction, x, strideX )`][@stdlib/stats/base/dnanvariancepn]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a two-pass algorithm.
- [`dnanvariancetk( N, correction, x, strideX )`][@stdlib/stats/base/dnanvariancetk]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm.
-- [`dnanvariancewd( N, correction, x, stride )`][@stdlib/stats/base/dnanvariancewd]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm.
-- [`dnanvarianceyc( N, correction, x, stride )`][@stdlib/stats/base/dnanvarianceyc]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
+- [`dnanvariancewd( N, correction, x, strideX )`][@stdlib/stats/base/dnanvariancewd]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm.
+- [`dnanvarianceyc( N, correction, x, strideX )`][@stdlib/stats/base/dnanvarianceyc]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
- [`drange( N, x, strideX )`][@stdlib/stats/base/drange]: calculate the range of a double-precision floating-point strided array.
- [`dsem( N, correction, x, stride )`][@stdlib/stats/base/dsem]: calculate the standard error of the mean of a double-precision floating-point strided array.
- [`dsemch( N, correction, x, strideX )`][@stdlib/stats/base/dsemch]: calculate the standard error of the mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@@ -331,8 +330,6 @@ console.log( objectKeys( ns ) );
[@stdlib/stats/base/dmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmskrange
-[@stdlib/stats/strided/dnanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmean
-
[@stdlib/stats/base/dnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanors
[@stdlib/stats/base/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpn