diff --git a/lib/node_modules/@stdlib/blas/ext/base/README.md b/lib/node_modules/@stdlib/blas/ext/base/README.md
index 4bd7029a44ce..6152feaf4672 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/README.md
@@ -116,7 +116,7 @@ var ns = extblas;
- [`gsorthp( N, order, x, stride )`][@stdlib/blas/ext/base/gsorthp]: sort a strided array using heapsort.
- [`gsortins( N, order, x, stride )`][@stdlib/blas/ext/base/gsortins]: sort a strided array using insertion sort.
- [`gsortsh( N, order, x, stride )`][@stdlib/blas/ext/base/gsortsh]: sort a strided array using Shellsort.
-- [`gsum( N, x, stride )`][@stdlib/blas/ext/base/gsum]: calculate the sum of strided array elements.
+- [`gsum( N, x, strideX )`][@stdlib/blas/ext/base/gsum]: calculate the sum of strided array elements.
- [`gsumkbn( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn]: calculate the sum of strided array elements using an improved Kahan–Babuška algorithm.
- [`gsumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn2]: calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.
- [`gsumors( N, x, strideX )`][@stdlib/blas/ext/base/gsumors]: calculate the sum of strided array elements using ordinary recursive summation.
diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md
index 0bf1802c9911..282d6e234906 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/base/README.md
@@ -62,7 +62,6 @@ The namespace contains the following statistical functions:
- [`cumin( N, x, strideX, y, strideY )`][@stdlib/stats/base/cumin]: calculate the cumulative minimum of a strided array.
- [`cuminabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/cuminabs]: calculate the cumulative minimum absolute value of a strided array.
- [`dcumin( N, x, strideX, y, strideY )`][@stdlib/stats/base/dcumin]: calculate the cumulative minimum of double-precision floating-point strided array elements.
-- [`dcuminabs( N, x, strideX, y, strideY )`][@stdlib/stats/strided/dcuminabs]: calculate the cumulative minimum absolute value of double-precision floating-point strided array elements.
- [`dmaxabs( N, x, strideX )`][@stdlib/stats/base/dmaxabs]: calculate the maximum absolute value of a double-precision floating-point strided array.
- [`dmaxabssorted( N, x, strideX )`][@stdlib/stats/base/dmaxabssorted]: calculate the maximum absolute value of a sorted double-precision floating-point strided array.
- [`dmaxsorted( N, x, strideX )`][@stdlib/stats/base/dmaxsorted]: calculate the maximum value of a sorted double-precision floating-point strided array.
@@ -252,7 +251,7 @@ The namespace contains the following statistical functions:
- [`sstdevpn( N, correction, x, stride )`][@stdlib/stats/base/sstdevpn]: calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.
- [`sstdevtk( N, correction, x, strideX )`][@stdlib/stats/base/sstdevtk]: calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.
- [`sstdevwd( N, correction, x, stride )`][@stdlib/stats/base/sstdevwd]: calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.
-- [`sstdevyc( N, correction, x, stride )`][@stdlib/stats/base/sstdevyc]: calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
+- [`sstdevyc( N, correction, x, strideX )`][@stdlib/stats/base/sstdevyc]: calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
- [`stdev( N, correction, x, stride )`][@stdlib/stats/base/stdev]: calculate the standard deviation of a strided array.
- [`stdevch( N, correction, x, stride )`][@stdlib/stats/base/stdevch]: calculate the standard deviation of a strided array using a one-pass trial mean algorithm.
- [`stdevpn( N, correction, x, stride )`][@stdlib/stats/base/stdevpn]: calculate the standard deviation of a strided array using a two-pass algorithm.
@@ -331,8 +330,6 @@ console.log( objectKeys( ns ) );
[@stdlib/stats/base/dcumin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dcumin
-[@stdlib/stats/strided/dcuminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dcuminabs
-
[@stdlib/stats/base/dmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmaxabs
[@stdlib/stats/base/dmaxabssorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmaxabssorted