diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/docs/types/index.d.ts
index e3182e42b319..8fdd81c7e937 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/docs/types/index.d.ts
@@ -65,6 +65,7 @@ import dnanmskmin = require( '@stdlib/stats/base/ndarray/dnanmskmin' );
 import dnanmskrange = require( '@stdlib/stats/base/ndarray/dnanmskrange' );
 import dnanrange = require( '@stdlib/stats/base/ndarray/dnanrange' );
 import drange = require( '@stdlib/stats/base/ndarray/drange' );
+import drangeabs = require( '@stdlib/stats/base/ndarray/drangeabs' );
 import dstdev = require( '@stdlib/stats/base/ndarray/dstdev' );
 import dstdevch = require( '@stdlib/stats/base/ndarray/dstdevch' );
 import dstdevpn = require( '@stdlib/stats/base/ndarray/dstdevpn' );
@@ -112,6 +113,7 @@ import nanrange = require( '@stdlib/stats/base/ndarray/nanrange' );
 import nanrangeBy = require( '@stdlib/stats/base/ndarray/nanrange-by' );
 import range = require( '@stdlib/stats/base/ndarray/range' );
 import rangeBy = require( '@stdlib/stats/base/ndarray/range-by' );
+import rangeabs = require( '@stdlib/stats/base/ndarray/rangeabs' );
 import scovarmtk = require( '@stdlib/stats/base/ndarray/scovarmtk' );
 import scumax = require( '@stdlib/stats/base/ndarray/scumax' );
 import scumaxabs = require( '@stdlib/stats/base/ndarray/scumaxabs' );
@@ -156,6 +158,7 @@ import snanmskmin = require( '@stdlib/stats/base/ndarray/snanmskmin' );
 import snanmskrange = require( '@stdlib/stats/base/ndarray/snanmskrange' );
 import snanrange = require( '@stdlib/stats/base/ndarray/snanrange' );
 import srange = require( '@stdlib/stats/base/ndarray/srange' );
+import srangeabs = require( '@stdlib/stats/base/ndarray/srangeabs' );
 import sstdev = require( '@stdlib/stats/base/ndarray/sstdev' );
 import sstdevch = require( '@stdlib/stats/base/ndarray/sstdevch' );
 import sstdevpn = require( '@stdlib/stats/base/ndarray/sstdevpn' );
@@ -1122,6 +1125,24 @@ interface Namespace {
 	*/
 	drange: typeof drange;
 
+	/**
+	* Computes the range of absolute values of a one-dimensional double-precision floating-point ndarray.
+	*
+	* @param arrays - array-like object containing an input ndarray
+	* @returns range
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+	*
+	* var xbuf = new Float64Array( [ 1.0, -3.0, 4.0, 2.0 ] );
+	* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+	*
+	* var v = ns.drangeabs( [ x ] );
+	* // returns 3.0
+	*/
+	drangeabs: typeof drangeabs;
+
 	/**
 	* Computes the standard deviation of a one-dimensional double-precision floating-point ndarray.
 	*
@@ -2108,6 +2129,23 @@ interface Namespace {
 	*/
 	rangeBy: typeof rangeBy;
 
+	/**
+	* Computes the range of absolute values of a one-dimensional ndarray.
+	*
+	* @param arrays - array-like object containing an input ndarray
+	* @returns range
+	*
+	* @example
+	* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+	*
+	* var xbuf = [ 1.0, -3.0, 4.0, 2.0 ];
+	* var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+	*
+	* var v = ns.rangeabs( [ x ] );
+	* // returns 3.0
+	*/
+	rangeabs: typeof rangeabs;
+
 	/**
 	* Computes the covariance of two one-dimensional single-precision floating-point ndarrays provided known means and using a one-pass textbook algorithm.
 	*
@@ -2990,6 +3028,24 @@ interface Namespace {
 	*/
 	srange: typeof srange;
 
+	/**
+	* Computes the range of absolute values of a one-dimensional single-precision floating-point ndarray.
+	*
+	* @param arrays - array-like object containing an input ndarray
+	* @returns range
+	*
+	* @example
+	* var Float32Array = require( '@stdlib/array/float32' );
+	* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+	*
+	* var xbuf = new Float32Array( [ 1.0, -3.0, 4.0, 2.0 ] );
+	* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+	*
+	* var v = ns.srangeabs( [ x ] );
+	* // returns 3.0
+	*/
+	srangeabs: typeof srangeabs;
+
 	/**
 	* Computes the standard deviation of a one-dimensional ndarray.
 	*