diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/README.md
index 7cac1cc56c10..80aa93d66b8b 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/README.md
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/README.md
@@ -49,6 +49,7 @@ The namespace exposes the following APIs:
- [`daxpy( arrays )`][@stdlib/blas/base/ndarray/daxpy]: multiply a one-dimensional double-precision floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional double-precision floating-point ndarray `y`.
- [`ddot( arrays )`][@stdlib/blas/base/ndarray/ddot]: calculate the dot product of two one-dimensional double-precision floating-point ndarrays.
- [`gasum( arrays )`][@stdlib/blas/base/ndarray/gasum]: calculate the sum of absolute values for all elements in a one-dimensional ndarray.
+- [`gaxpy( arrays )`][@stdlib/blas/base/ndarray/gaxpy]: multiply a one-dimensional ndarray `x` by a constant `alpha` and add the result to a one-dimensional ndarray `y`.
- [`gdot( arrays )`][@stdlib/blas/base/ndarray/gdot]: calculate the dot product of two one-dimensional ndarrays.
- [`sasum( arrays )`][@stdlib/blas/base/ndarray/sasum]: calculate the sum of absolute values for all elements in a one-dimensional single-precision floating-point ndarray.
- [`saxpy( arrays )`][@stdlib/blas/base/ndarray/saxpy]: multiply a one-dimensional single-precision floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional single-precision floating-point ndarray `y`.
@@ -103,6 +104,8 @@ console.log( objectKeys( ns ) );
[@stdlib/blas/base/ndarray/gasum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/gasum
+[@stdlib/blas/base/ndarray/gaxpy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/gaxpy
+
[@stdlib/blas/base/ndarray/gdot]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/gdot
[@stdlib/blas/base/ndarray/sasum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/sasum
diff --git a/lib/node_modules/@stdlib/ndarray/README.md b/lib/node_modules/@stdlib/ndarray/README.md
index 96bfe83c61c5..11ff8acfc027 100644
--- a/lib/node_modules/@stdlib/ndarray/README.md
+++ b/lib/node_modules/@stdlib/ndarray/README.md
@@ -138,6 +138,7 @@ In addition, the namespace contains the following multidimensional array utility
- [`promotionRules( [dtype1, dtype2] )`][@stdlib/ndarray/promotion-rules]: return the ndarray data type with the smallest size and closest "kind" to which ndarray data types can be **safely** cast.
- [`push( x, ...values )`][@stdlib/ndarray/push]: return a one-dimensional ndarray formed by appending provided scalar values to a one-dimensional input ndarray.
- [`reject( x[, options], predicate[, thisArg] )`][@stdlib/ndarray/reject]: return a shallow copy of an ndarray containing only those elements which fail a test implemented by a predicate function.
+- [`removeSingletonDimensions( x )`][@stdlib/ndarray/remove-singleton-dimensions]: return a read-only view of an input ndarray with singleton dimensions removed.
- [`reverseDimension( x, dim )`][@stdlib/ndarray/reverse-dimension]: return a **read-only** view of an input `ndarray` in which the order of elements along a specified dimension is reversed.
- [`reverse( x )`][@stdlib/ndarray/reverse]: return a **read-only** view of an input `ndarray` in which the order of elements along each dimension is reversed.
- [`safeCasts( [dtype] )`][@stdlib/ndarray/safe-casts]: return a list of ndarray data types to which a provided ndarray data type can be safely cast.
@@ -347,6 +348,8 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/reject]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/reject
+[@stdlib/ndarray/remove-singleton-dimensions]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/remove-singleton-dimensions
+
[@stdlib/ndarray/reverse-dimension]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/reverse-dimension
[@stdlib/ndarray/reverse]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/reverse
diff --git a/lib/node_modules/@stdlib/ndarray/base/README.md b/lib/node_modules/@stdlib/ndarray/base/README.md
index 9eecac8958e4..0e13af3e8de3 100644
--- a/lib/node_modules/@stdlib/ndarray/base/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/README.md
@@ -111,6 +111,7 @@ var o = ns;
- [`array2ndarray( buf, order )`][@stdlib/ndarray/base/from-array]: convert an array to a one-dimensional ndarray.
- [`scalar2ndarrayLike( x, value )`][@stdlib/ndarray/base/from-scalar-like]: convert a scalar value to a zero-dimensional ndarray having the same data type as a provided ndarray.
- [`scalar2ndarray( value, dtype, order )`][@stdlib/ndarray/base/from-scalar]: convert a scalar value to a zero-dimensional ndarray.
+- [`fullBy( dtype, shape, order, clbk[, thisArg] )`][@stdlib/ndarray/base/full-by]: create an ndarray filled according to a callback function and having a specified shape and data type.
- [`full( value, dtype, shape, order )`][@stdlib/ndarray/base/full]: create an ndarray filled with a specified value and having a specified shape and data type.
- [`includes( arrays )`][@stdlib/ndarray/base/includes]: test whether an ndarray contains a specified value.
- [`ind( idx, max, mode )`][@stdlib/ndarray/base/ind]: return an index given an index mode.
@@ -220,6 +221,7 @@ var o = ns;
- [`unaryBlockSize( dtypeX, dtypeY )`][@stdlib/ndarray/base/unary-tiling-block-size]: resolve a loop block size for multi-dimensional array tiled loops.
- [`unary( arrays, fcn )`][@stdlib/ndarray/base/unary]: apply a unary callback to elements in an input ndarray and assign results to elements in an output ndarray.
- [`unflattenShape( shape, dim, sizes )`][@stdlib/ndarray/base/unflatten-shape]: expand a dimension over multiple dimensions.
+- [`unflatten( x, dim, sizes, writable )`][@stdlib/ndarray/base/unflatten]: return a view of an input ndarray in which a specified dimension is expanded over multiple dimensions.
- [`vind2bind( shape, strides, offset, order, idx, mode )`][@stdlib/ndarray/base/vind2bind]: convert a linear index in an array view to a linear index in an underlying data buffer.
- [`wrapIndex( idx, max )`][@stdlib/ndarray/base/wrap-index]: wrap an index on the interval `[0,max]`.
- [`zerosLike( x )`][@stdlib/ndarray/base/zeros-like]: create a zero-filled ndarray having the same shape and data type as a provided ndarray.
@@ -417,6 +419,8 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/base/from-scalar]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/from-scalar
+[@stdlib/ndarray/base/full-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/full-by
+
[@stdlib/ndarray/base/full]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/full
[@stdlib/ndarray/base/includes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/includes
@@ -635,6 +639,8 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/base/unflatten-shape]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unflatten-shape
+[@stdlib/ndarray/base/unflatten]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unflatten
+
[@stdlib/ndarray/base/vind2bind]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/vind2bind
[@stdlib/ndarray/base/wrap-index]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/wrap-index
diff --git a/lib/node_modules/@stdlib/stats/strided/README.md b/lib/node_modules/@stdlib/stats/strided/README.md
index 35b39f7e515c..39ca4965c25a 100644
--- a/lib/node_modules/@stdlib/stats/strided/README.md
+++ b/lib/node_modules/@stdlib/stats/strided/README.md
@@ -248,6 +248,7 @@ The namespace exports the following:
- [`smskmidrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/smskmidrange]: calculate the mid-range of a single-precision floating-point strided array according to a mask.
- [`smskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/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/strided/smskrange]: calculate the range of a single-precision floating-point strided array according to a mask.
+- [`snancount( N, x, strideX )`][@stdlib/stats/strided/snancount]: calculate the number of non-`NaN` elements in a single-precision floating-point strided array.
- [`snanmax( N, x, strideX )`][@stdlib/stats/strided/snanmax]: calculate the maximum value of a single-precision floating-point strided array, ignoring `NaN` values.
- [`snanmaxabs( N, x, strideX )`][@stdlib/stats/strided/snanmaxabs]: calculate the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.
- [`snanmean( N, x, strideX )`][@stdlib/stats/strided/snanmean]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values.
@@ -732,6 +733,8 @@ console.log( objectKeys( ns ) );
[@stdlib/stats/strided/smskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smskrange
+[@stdlib/stats/strided/snancount]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snancount
+
[@stdlib/stats/strided/snanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmax
[@stdlib/stats/strided/snanmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmaxabs