diff --git a/lib/node_modules/@stdlib/ndarray/README.md b/lib/node_modules/@stdlib/ndarray/README.md
index 67e19d8de5a7..4011eb7e26c1 100644
--- a/lib/node_modules/@stdlib/ndarray/README.md
+++ b/lib/node_modules/@stdlib/ndarray/README.md
@@ -83,6 +83,7 @@ In addition, the namespace contains the following multidimensional array utility
- [`emptyLike( x[, options] )`][@stdlib/ndarray/empty-like]: create an uninitialized ndarray having the same shape and data type as a provided ndarray.
- [`empty( shape[, options] )`][@stdlib/ndarray/empty]: create an uninitialized ndarray having a specified shape and data type.
- [`FancyArray( dtype, buffer, shape, strides, offset, order[, options] )`][@stdlib/ndarray/fancy]: fancy multidimensional array constructor.
+- [`fill( x, value )`][@stdlib/ndarray/fill]: fill an input `ndarray` with a specified value.
- [`filterMap( x[, options], fcn[, thisArg] )`][@stdlib/ndarray/filter-map]: filter and map elements in an input ndarray to elements in a new output ndarray according to a callback function.
- [`filter( x[, options], predicate[, thisArg] )`][@stdlib/ndarray/filter]: return a shallow copy of an ndarray containing only those elements which pass a test implemented by a predicate function.
- [`flag( x, name )`][@stdlib/ndarray/flag]: return a specified flag for a provided ndarray.
@@ -192,6 +193,8 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/fancy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/fancy
+[@stdlib/ndarray/fill]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/fill
+
[@stdlib/ndarray/filter-map]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/filter-map
[@stdlib/ndarray/filter]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/filter
diff --git a/lib/node_modules/@stdlib/ndarray/base/README.md b/lib/node_modules/@stdlib/ndarray/base/README.md
index 714f6da02544..7a4ea5a1541f 100644
--- a/lib/node_modules/@stdlib/ndarray/base/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/README.md
@@ -72,6 +72,7 @@ var o = ns;
- [`emptyLike( x )`][@stdlib/ndarray/base/empty-like]: create an uninitialized ndarray having the same shape and data type as a provided ndarray.
- [`empty( dtype, shape, order )`][@stdlib/ndarray/base/empty]: create an uninitialized ndarray having a specified shape and data type.
- [`expandDimensions( x, axis )`][@stdlib/ndarray/base/expand-dimensions]: expand the shape of an array by inserting a new dimension of size one at a specified axis.
+- [`fillBy( x, fcn[, thisArg] )`][@stdlib/ndarray/base/fill-by]: fill an input ndarray according to a callback function.
- [`fill( x, value )`][@stdlib/ndarray/base/fill]: fill an input ndarray with a specified value.
- [`flag( x, name )`][@stdlib/ndarray/base/flag]: return a specified flag for a provided ndarray.
- [`flags( x, copy )`][@stdlib/ndarray/base/flags]: return the flags of a provided ndarray.
@@ -259,6 +260,8 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/base/expand-dimensions]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/expand-dimensions
+[@stdlib/ndarray/base/fill-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/fill-by
+
[@stdlib/ndarray/base/fill]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/fill
[@stdlib/ndarray/base/flag]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/flag
diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md
index dfa4752b98b8..9b5e19d52241 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/base/README.md
@@ -135,7 +135,7 @@ The namespace contains the following statistical functions:
- [`meanors( N, x, stride )`][@stdlib/stats/base/meanors]: calculate the arithmetic mean of a strided array using ordinary recursive summation.
- [`meanpn( N, x, stride )`][@stdlib/stats/base/meanpn]: calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.
- [`meanpw( N, x, stride )`][@stdlib/stats/base/meanpw]: calculate the arithmetic mean of a strided array using pairwise summation.
-- [`meanwd( N, x, stride )`][@stdlib/stats/base/meanwd]: calculate the arithmetic mean of a strided array using Welford's algorithm.
+- [`meanwd( N, x, strideX )`][@stdlib/stats/base/meanwd]: calculate the arithmetic mean of a strided array using Welford's algorithm.
- [`mediansorted( N, x, strideX )`][@stdlib/stats/base/mediansorted]: calculate the median value of a sorted strided array.
- [`minBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/base/min-by]: calculate the minimum value of a strided array via a callback function.
- [`min( N, x, strideX )`][@stdlib/stats/base/min]: calculate the minimum value of a strided array.