diff --git a/lib/node_modules/@stdlib/ndarray/README.md b/lib/node_modules/@stdlib/ndarray/README.md
index e3c0ebd0a92c..63ddcbe4c093 100644
--- a/lib/node_modules/@stdlib/ndarray/README.md
+++ b/lib/node_modules/@stdlib/ndarray/README.md
@@ -55,7 +55,9 @@ The namespace exports the following functions to create multidimensional arrays:
 -   <span class="signature">[`FancyArray( dtype, buffer, shape, strides, offset, order[, options] )`][@stdlib/ndarray/fancy]</span><span class="delimiter">: </span><span class="description">fancy multidimensional array constructor.</span>
 -   <span class="signature">[`scalar2ndarrayLike( x, value[, options] )`][@stdlib/ndarray/from-scalar-like]</span><span class="delimiter">: </span><span class="description">convert a scalar value to a zero-dimensional ndarray having the same data-type as a provided ndarray.</span>
 -   <span class="signature">[`scalar2ndarray( value[, options] )`][@stdlib/ndarray/from-scalar]</span><span class="delimiter">: </span><span class="description">convert a scalar value to a zero-dimensional ndarray.</span>
+-   <span class="signature">[`nansLike( x[, options] )`][@stdlib/ndarray/nans-like]</span><span class="delimiter">: </span><span class="description">create a NaN-filled ndarray having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`ndarraylike2ndarray( x[, options] )`][@stdlib/ndarray/ndarraylike2ndarray]</span><span class="delimiter">: </span><span class="description">convert an ndarray-like object to an `ndarray`.</span>
+-   <span class="signature">[`onesLike( x[, options] )`][@stdlib/ndarray/ones-like]</span><span class="delimiter">: </span><span class="description">create a ones-filled ndarray having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`ones( shape[, options] )`][@stdlib/ndarray/ones]</span><span class="delimiter">: </span><span class="description">create a ones-filled ndarray having a specified shape and data type.</span>
 -   <span class="signature">[`ndarray2fancy( x[, options] )`][@stdlib/ndarray/to-fancy]</span><span class="delimiter">: </span><span class="description">convert an ndarray to an object supporting fancy indexing.</span>
 -   <span class="signature">[`zerosLike( x[, options] )`][@stdlib/ndarray/zeros-like]</span><span class="delimiter">: </span><span class="description">create a zero-filled ndarray having the same shape and data type as a provided ndarray.</span>
@@ -567,8 +569,12 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/from-scalar]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/from-scalar
 
+[@stdlib/ndarray/nans-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/nans-like
+
 [@stdlib/ndarray/ndarraylike2ndarray]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ndarraylike2ndarray
 
+[@stdlib/ndarray/ones-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ones-like
+
 [@stdlib/ndarray/ones]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ones
 
 [@stdlib/ndarray/to-fancy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/to-fancy
diff --git a/lib/node_modules/@stdlib/ndarray/base/README.md b/lib/node_modules/@stdlib/ndarray/base/README.md
index 27453c5786b8..3587ec69a56e 100644
--- a/lib/node_modules/@stdlib/ndarray/base/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/README.md
@@ -137,6 +137,7 @@ var o = ns;
 -   <span class="signature">[`minUnsignedIntegerDataType( value )`][@stdlib/ndarray/base/min-unsigned-integer-dtype]</span><span class="delimiter">: </span><span class="description">determine the minimum ndarray data type for storing a provided unsigned integer value.</span>
 -   <span class="signature">[`minViewBufferIndex( shape, strides, offset )`][@stdlib/ndarray/base/min-view-buffer-index]</span><span class="delimiter">: </span><span class="description">compute the minimum linear index in an underlying data buffer accessible to an array view.</span>
 -   <span class="signature">[`minmaxViewBufferIndex( shape, strides, offset )`][@stdlib/ndarray/base/minmax-view-buffer-index]</span><span class="delimiter">: </span><span class="description">compute the minimum and maximum linear indices in an underlying data buffer which are accessible to an array view.</span>
+-   <span class="signature">[`nansLike( x )`][@stdlib/ndarray/base/nans-like]</span><span class="delimiter">: </span><span class="description">create a NaN-filled ndarray having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`nans( dtype, shape, order )`][@stdlib/ndarray/base/nans]</span><span class="delimiter">: </span><span class="description">create a NaN-filled ndarray having a specified shape and data type.</span>
 -   <span class="signature">[`ndarraylike2ndarray( x )`][@stdlib/ndarray/base/ndarraylike2ndarray]</span><span class="delimiter">: </span><span class="description">convert an ndarray-like object to an `ndarray`.</span>
 -   <span class="signature">[`ndarraylike2object( x )`][@stdlib/ndarray/base/ndarraylike2object]</span><span class="delimiter">: </span><span class="description">convert an `ndarray`-like object to an object likely to have the same "shape".</span>
@@ -497,6 +498,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/minmax-view-buffer-index]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/minmax-view-buffer-index
 
+[@stdlib/ndarray/base/nans-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/nans-like
+
 [@stdlib/ndarray/base/nans]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/nans
 
 [@stdlib/ndarray/base/ndarraylike2ndarray]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/ndarraylike2ndarray
diff --git a/lib/node_modules/@stdlib/strided/base/README.md b/lib/node_modules/@stdlib/strided/base/README.md
index 1144a4b6bcee..54c991ed0e5e 100644
--- a/lib/node_modules/@stdlib/strided/base/README.md
+++ b/lib/node_modules/@stdlib/strided/base/README.md
@@ -77,6 +77,7 @@ The following functions are currently exported:
 -   <span class="signature">[`reinterpretComplex( x, offset )`][@stdlib/strided/base/reinterpret-complex]</span><span class="delimiter">: </span><span class="description">reinterpret a complex-valued floating-point array as a real-valued floating-point array having the same precision.</span>
 -   <span class="signature">[`reinterpretComplex128( x, offset )`][@stdlib/strided/base/reinterpret-complex128]</span><span class="delimiter">: </span><span class="description">reinterpret a `Complex128Array` as a `Float64Array`.</span>
 -   <span class="signature">[`reinterpretComplex64( x, offset )`][@stdlib/strided/base/reinterpret-complex64]</span><span class="delimiter">: </span><span class="description">reinterpret a `Complex64Array` as a `Float32Array`.</span>
+-   <span class="signature">[`reinterpretFloat16( x, offset )`][@stdlib/strided/base/reinterpret-float16]</span><span class="delimiter">: </span><span class="description">reinterpret a `Float16Array` as a `Uint16Array`.</span>
 -   <span class="signature">[`smap( N, x, strideX, y, strideY, fcn )`][@stdlib/strided/base/smap]</span><span class="delimiter">: </span><span class="description">apply a unary function to a single-precision floating-point strided input array and assign results to a single-precision floating-point strided output array.</span>
 -   <span class="signature">[`smap2( N, x, strideX, y, strideY, z, strideZ, fcn )`][@stdlib/strided/base/smap2]</span><span class="delimiter">: </span><span class="description">apply a binary function to single-precision floating-point strided input arrays and assign results to a single-precision floating-point strided output array.</span>
 -   <span class="signature">[`smskmap( N, x, strideX, mask, strideMask, y, strideY, fcn )`][@stdlib/strided/base/smskmap]</span><span class="delimiter">: </span><span class="description">apply a unary function to a single-precision floating-point strided input array according to a strided mask array and assign results to a single-precision floating-point strided output array.</span>
@@ -197,6 +198,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/strided/base/reinterpret-complex64]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/strided/base/reinterpret-complex64
 
+[@stdlib/strided/base/reinterpret-float16]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/strided/base/reinterpret-float16
+
 [@stdlib/strided/base/smap]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/strided/base/smap
 
 [@stdlib/strided/base/smap2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/strided/base/smap2