diff --git a/lib/node_modules/@stdlib/blas/ext/base/README.md b/lib/node_modules/@stdlib/blas/ext/base/README.md
index 6152feaf4672..180326287d81 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/README.md
@@ -133,14 +133,14 @@ var ns = extblas;
 -   <span class="signature">[`scusumkbn2( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`scusumors( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumors]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements using ordinary recursive summation.</span>
 -   <span class="signature">[`scusumpw( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumpw]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements using pairwise summation.</span>
--   <span class="signature">[`sdsapxsum( N, alpha, x, stride )`][@stdlib/blas/ext/base/sdsapxsum]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using extended accumulation.</span>
+-   <span class="signature">[`sdsapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sdsapxsum]</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 extended accumulation.</span>
 -   <span class="signature">[`sdsapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sdsapxsumpw]</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 pairwise summation with extended accumulation.</span>
--   <span class="signature">[`sdsnansum( N, x, stride )`][@stdlib/blas/ext/base/sdsnansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using extended accumulation.</span>
+-   <span class="signature">[`sdsnansum( N, x, strideX )`][@stdlib/blas/ext/base/sdsnansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using extended accumulation.</span>
 -   <span class="signature">[`sdsnansumpw( N, x, strideX )`][@stdlib/blas/ext/base/sdsnansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation with extended accumulation.</span>
--   <span class="signature">[`sdssum( N, x, stride )`][@stdlib/blas/ext/base/sdssum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using extended accumulation.</span>
+-   <span class="signature">[`sdssum( N, x, strideX )`][@stdlib/blas/ext/base/sdssum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using extended accumulation.</span>
 -   <span class="signature">[`sdssumpw( N, x, strideX )`][@stdlib/blas/ext/base/sdssumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation.</span>
 -   <span class="signature">[`sfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sfill]</span><span class="delimiter">: </span><span class="description">fill a single-precision floating-point strided array with a specified scalar constant.</span>
--   <span class="signature">[`snansum( N, x, stride )`][@stdlib/blas/ext/base/snansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values.</span>
+-   <span class="signature">[`snansum( N, x, strideX )`][@stdlib/blas/ext/base/snansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values.</span>
 -   <span class="signature">[`snansumkbn( N, x, strideX )`][@stdlib/blas/ext/base/snansumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`snansumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/snansumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`snansumors( N, x, strideX )`][@stdlib/blas/ext/base/snansumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.</span>
@@ -152,9 +152,9 @@ var ns = extblas;
 -   <span class="signature">[`ssorthp( N, order, x, stride )`][@stdlib/blas/ext/base/ssorthp]</span><span class="delimiter">: </span><span class="description">sort a single-precision floating-point strided array using heapsort.</span>
 -   <span class="signature">[`ssortins( N, order, x, stride )`][@stdlib/blas/ext/base/ssortins]</span><span class="delimiter">: </span><span class="description">sort a single-precision floating-point strided array using insertion sort.</span>
 -   <span class="signature">[`ssortsh( N, order, x, stride )`][@stdlib/blas/ext/base/ssortsh]</span><span class="delimiter">: </span><span class="description">sort a single-precision floating-point strided array using Shellsort.</span>
--   <span class="signature">[`ssum( N, x, stride )`][@stdlib/blas/ext/base/ssum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements.</span>
+-   <span class="signature">[`ssum( N, x, strideX )`][@stdlib/blas/ext/base/ssum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements.</span>
 -   <span class="signature">[`ssumkbn( N, x, strideX )`][@stdlib/blas/ext/base/ssumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
--   <span class="signature">[`ssumkbn2( N, x, stride )`][@stdlib/blas/ext/base/ssumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
+-   <span class="signature">[`ssumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/ssumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <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>
 
diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md
index 282d6e234906..c34e272e4377 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/base/README.md
@@ -145,7 +145,7 @@ The namespace contains the following statistical functions:
 -   <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>
 -   <span class="signature">[`dvarmtk( N, mean, correction, x, strideX )`][@stdlib/stats/base/dvarmtk]</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 a one-pass textbook algorithm.</span>
 -   <span class="signature">[`maxBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/base/max-by]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array via a callback function.</span>
--   <span class="signature">[`max( N, x, stride )`][@stdlib/stats/base/max]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array.</span>
+-   <span class="signature">[`max( N, x, strideX )`][@stdlib/stats/base/max]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array.</span>
 -   <span class="signature">[`maxabs( N, x, stride )`][@stdlib/stats/base/maxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a strided array.</span>
 -   <span class="signature">[`maxsorted( N, x, stride )`][@stdlib/stats/base/maxsorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a sorted strided array.</span>
 -   <span class="signature">[`mean( N, x, stride )`][@stdlib/stats/base/mean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array.</span>