diff --git a/lib/node_modules/@stdlib/stats/base/nanminabs/README.md b/lib/node_modules/@stdlib/stats/base/nanminabs/README.md
index cdced0c3fcde..aacc11c98ca5 100644
--- a/lib/node_modules/@stdlib/stats/base/nanminabs/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanminabs/README.md
@@ -2,7 +2,7 @@
 
 @license Apache-2.0
 
-Copyright (c) 2020 The Stdlib Authors.
+Copyright (c) 2025 The Stdlib Authors.
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
@@ -36,7 +36,7 @@ limitations under the License.
 var nanminabs = require( '@stdlib/stats/base/nanminabs' );
 ```
 
-#### nanminabs( N, x, stride )
+#### nanminabs( N, x, strideX )
 
 Computes the minimum absolute value of a strided array `x`, ignoring `NaN` values.
 
@@ -54,7 +54,7 @@ The function has the following parameters:
 -   **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
 -   **stride**: index increment for `x`.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the minimum absolute value of every other element in `x`,
+The `N` and `strideX` parameters determine which elements in `x` are accessed at runtime. For example, to compute the minimum absolute value of every other element in `x`,
 
 ```javascript
 var floor = require( '@stdlib/math/base/special/floor' );
@@ -83,7 +83,7 @@ var v = nanminabs( N, x1, 2 );
 // returns 1.0
 ```
 
-#### nanminabs.ndarray( N, x, stride, offset )
+#### nanminabs.ndarray( N, x, strideX, offsetX )
 
 Computes the minimum absolute value of a strided array, ignoring `NaN` values and using alternative indexing semantics.
 
@@ -97,9 +97,9 @@ var v = nanminabs.ndarray( N, x, 1, 0 );
 
 The function has the following additional parameters:
 
--   **offset**: starting index for `x`.
+-   **offsetX**: starting index for `x`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the minimum absolute value for every other value in `x` starting from the second value
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offsetX` parameter supports indexing semantics based on a starting index. For example, to calculate the minimum absolute value for every other value in `x` starting from the second value
 
 ```javascript
 var floor = require( '@stdlib/math/base/special/floor' );
diff --git a/lib/node_modules/@stdlib/stats/base/nanminabs/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/nanminabs/benchmark/benchmark.js
index d79514ceffbe..731d2e2edc2c 100644
--- a/lib/node_modules/@stdlib/stats/base/nanminabs/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/nanminabs/benchmark/benchmark.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -21,13 +21,16 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var pkg = require( './../package.json' ).name;
 var nanminabs = require( './../lib/nanminabs.js' );
 
-
+// VARIABLES //
+var options = {
+	'dtype': 'generic'
+};
 // FUNCTIONS //
 
 /**
@@ -38,17 +41,7 @@ var nanminabs = require( './../lib/nanminabs.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = [];
-	for ( i = 0; i < len; i++ ) {
-		if ( randu() < 0.2 ) {
-			x.push( NaN );
-		} else {
-			x.push( ( randu()*20.0 ) - 10.0 );
-		}
-	}
+	var x = uniform( len, -10, 10, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/nanminabs/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/nanminabs/benchmark/benchmark.ndarray.js
index 9513c718b3ad..67342d333021 100644
--- a/lib/node_modules/@stdlib/stats/base/nanminabs/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/nanminabs/benchmark/benchmark.ndarray.js
@@ -21,12 +21,16 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var pkg = require( './../package.json' ).name;
 var nanminabs = require( './../lib/ndarray.js' );
 
+// VARIABLES //
+var options = {
+	'dtype': 'generic'
+};
 
 // FUNCTIONS //
 
@@ -38,17 +42,7 @@ var nanminabs = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = [];
-	for ( i = 0; i < len; i++ ) {
-		if ( randu() < 0.2 ) {
-			x.push( NaN );
-		} else {
-			x.push( ( randu()*20.0 ) - 10.0 );
-		}
-	}
+	var x = uniform( len, -10, 10, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/nanminabs/lib/accessors.js b/lib/node_modules/@stdlib/stats/base/nanminabs/lib/accessors.js
new file mode 100644
index 000000000000..0679d7f06794
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/nanminabs/lib/accessors.js
@@ -0,0 +1,95 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+'use strict';
+
+// MODULES //
+
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var abs = require( '@stdlib/math/base/special/abs' );
+
+
+// MAIN //
+
+/**
+* Computes the minimum absolute value of a strided array, ignoring `NaN` values.
+* Supports accessor protocol.
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {Object} x - input array object
+* @param {Collection} x.data - input array data
+* @param {Array<Function>} x.accessors - array element accessors
+* @param {integer} strideX - stride length for `x`
+* @param {NonNegativeInteger} offsetX - starting index for `x`
+* @returns {Object} output array object
+*
+* @example
+* var x = { data: [ -3.0, NaN, 2.0, -1.0 ], accessors: [ ( arr, i ) => arr[ i ] ] };
+* var minAbs = nanminabs( 4, x, 1, 0 );
+* // returns 1.0
+*/
+function nanminabs( N, x, strideX, offsetX ) {
+	var xbuf;
+	var get;
+	var min;
+	var ix;
+	var v;
+	var i;
+
+	// Cache reference to array data:
+	xbuf = x.data;
+
+	// Cache a reference to the element accessor:
+	get = x.accessors[ 0 ];
+
+	if ( N === 1 || strideX === 0 ) {
+		return ((get) ?
+			abs( get( xbuf, offsetX) ) :
+			abs( xbuf[offsetX] ) );
+	}
+
+	ix = offsetX;
+	for ( i = 0; i < N; i++ ) {
+		v = ((get) ? get(xbuf, ix) : xbuf[ix]);
+		if ( v === v ) {
+			break;
+		}
+		ix += strideX;
+	}
+	if ( i === N ) {
+		return NaN;
+	}
+	min = abs( v );
+
+	for ( i += 1; i < N; i++ ) {
+		ix += strideX;
+		v = ((get) ? get(xbuf, ix) : xbuf[ix]);
+		v = abs( v );
+		if ( isnan( v ) ) {
+			continue;
+		}
+		if ( v < min ) {
+			min = v;
+		}
+	}
+	return min;
+}
+
+
+// EXPORTS //
+
+module.exports = nanminabs;
diff --git a/lib/node_modules/@stdlib/stats/base/nanminabs/lib/main.js b/lib/node_modules/@stdlib/stats/base/nanminabs/lib/main.js
index e32d9255d6b5..7fb06b469308 100644
--- a/lib/node_modules/@stdlib/stats/base/nanminabs/lib/main.js
+++ b/lib/node_modules/@stdlib/stats/base/nanminabs/lib/main.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -20,15 +20,31 @@
 
 // MODULES //
 
-var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
 var nanminabs = require( './nanminabs.js' );
 var ndarray = require( './ndarray.js' );
-
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var setReadOnly = require( '@stdlib/utils/define-read-only-property' );
 
 // MAIN //
-
+/**
+ * Computes the minimum absolute value of a strided array.
+ *
+ * @param {PositiveInteger} N - number of indexed elements
+ * @param {NumericArray} x - input array
+ * @param {integer} strideX - stride length
+ * @returns {number} minimum absolute value
+ *
+ * @example
+ * var x = [ 1.0, -2.0, 2.0 ];
+ * var N = x.length;
+ *
+ * var v = min( N, x, 1 );
+ * // returns -2.0
+ */
 setReadOnly( nanminabs, 'ndarray', ndarray );
-
+function nanminabs( N, x, strideX ) {
+      return ndarray( N, x, strideX, stride2offset( N, strideX ) );
+}
 
 // EXPORTS //
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanminabs/lib/nanminabs.js b/lib/node_modules/@stdlib/stats/base/nanminabs/lib/nanminabs.js
index 6f8e046568dd..2e79f40e30dc 100644
--- a/lib/node_modules/@stdlib/stats/base/nanminabs/lib/nanminabs.js
+++ b/lib/node_modules/@stdlib/stats/base/nanminabs/lib/nanminabs.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -22,6 +22,8 @@
 
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var abs = require( '@stdlib/math/base/special/abs' );
+var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
+var accessors = require( './accessors.js' );
 
 
 // MAIN //
@@ -31,7 +33,8 @@ var abs = require( '@stdlib/math/base/special/abs' );
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {NumericArray} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index for `x`
 * @returns {number} minimum absolute value
 *
 * @example
@@ -41,8 +44,9 @@ var abs = require( '@stdlib/math/base/special/abs' );
 * var v = nanminabs( N, x, 1 );
 * // returns 1.0
 */
-function nanminabs( N, x, stride ) {
+function nanminabs( N, x, strideX, offsetX ) {
 	var min;
+	var o;
 	var ix;
 	var v;
 	var i;
@@ -50,32 +54,46 @@ function nanminabs( N, x, stride ) {
 	if ( N <= 0 ) {
 		return NaN;
 	}
-	if ( N === 1 || stride === 0 ) {
-		return abs( x[ 0 ] );
+	o = arraylike2object( x );
+	if ( o.accessorProtocol ) {
+		return accessors( N, o, strideX, offsetX );
 	}
-	if ( stride < 0 ) {
-		ix = (1-N) * stride;
+
+	if ( N === 1 || strideX === 0 ) {
+		v = x[ offsetX ];
+		return isnan( v ) ? NaN : abs( v );
+	}
+
+	if ( strideX < 0 ) {
+		ix = offsetX + (N-1) * strideX;
 	} else {
-		ix = 0;
+		ix = offsetX;
 	}
+
+	// Find the first non-NaN value:
 	for ( i = 0; i < N; i++ ) {
 		v = x[ ix ];
-		if ( v === v ) {
+		if ( !isnan( v ) ) {
 			break;
 		}
-		ix += stride;
+		ix += strideX;
 	}
 	if ( i === N ) {
 		return NaN;
 	}
+
+	// Initialize min with the first non-NaN value:
 	min = abs( v );
 	i += 1;
-	for ( i; i < N; i++ ) {
-		ix += stride;
-		v = abs( x[ ix ] );
+
+	// Iterate through the remaining elements:
+	for ( ; i < N; i++ ) {
+		ix += strideX;
+		v = x[ ix ];
 		if ( isnan( v ) ) {
 			continue;
 		}
+		v = abs( v );
 		if ( v < min ) {
 			min = v;
 		}
diff --git a/lib/node_modules/@stdlib/stats/base/nanminabs/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/nanminabs/lib/ndarray.js
index fc9d8ff6065d..9df0af552c5f 100644
--- a/lib/node_modules/@stdlib/stats/base/nanminabs/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/nanminabs/lib/ndarray.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -22,6 +22,8 @@
 
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var abs = require( '@stdlib/math/base/special/abs' );
+var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
+var accessors = require( './accessors.js' );
 
 
 // MAIN //
@@ -31,8 +33,8 @@ var abs = require( '@stdlib/math/base/special/abs' );
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {NumericArray} x - input array
-* @param {integer} stride - stride length
-* @param {NonNegativeInteger} offset - starting index
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
 * @returns {number} minimum absolute value
 *
 * @example
@@ -44,42 +46,65 @@ var abs = require( '@stdlib/math/base/special/abs' );
 * var v = nanminabs( N, x, 2, 1 );
 * // returns 1.0
 */
-function nanminabs( N, x, stride, offset ) {
-	var min;
-	var ix;
-	var v;
-	var i;
-
-	if ( N <= 0 ) {
-		return NaN;
-	}
-	if ( N === 1 || stride === 0 ) {
-		return x[ offset ];
-	}
-	ix = offset;
-	for ( i = 0; i < N; i++ ) {
-		v = x[ ix ];
-		if ( v === v ) {
-			break;
-		}
-		ix += stride;
-	}
-	if ( i === N ) {
-		return NaN;
-	}
-	min = abs( v );
-	i += 1;
-	for ( i; i < N; i++ ) {
-		ix += stride;
-		v = abs( x[ ix ] );
-		if ( isnan( v ) ) {
-			continue;
-		}
-		if ( v < min ) {
-			min = v;
-		}
-	}
-	return min;
+function nanminabs(N, x, strideX, offsetX) {
+    var min;
+    var o;
+    var ix;
+    var v;
+    var i;
+
+    if (N <= 0) {
+        return NaN;
+    }
+
+    o = arraylike2object(x);
+    if (o.accessorProtocol) {
+        return accessors(N, o, strideX, offsetX);
+    }
+
+    if (N === 1 || strideX === 0) {
+        v = x[offsetX];
+        return isnan(v) ? NaN : abs(v);
+    }
+
+    // Initialize the starting index based on the stride:
+    if (strideX < 0) {
+        ix = offsetX + (N - 1) * strideX; // Start from the end for negative strides
+    } else {
+        ix = offsetX; // Start from the beginning for positive strides
+    }
+
+    // Find the first non-NaN value:
+    for (i = 0; i < N; i++) {
+        v = x[ix];
+        if (!isnan(v)) {
+            break;
+        }
+        ix += strideX;
+    }
+
+    if (i === N) {
+        return NaN; // All elements are NaN
+    }
+
+    // Initialize min with the first non-NaN value:
+    min = abs(v);
+    i += 1;
+
+    // Iterate through the remaining elements:
+    for (; i < N; i++) {
+        ix += strideX;
+        v = x[ix];
+        if (isnan(v)) {
+            continue;
+        }
+        v = abs(v);
+        if (v < min) {
+            min = v;
+        }
+    }
+
+    return min;
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/nanminabs/test/test.nanminabs.js b/lib/node_modules/@stdlib/stats/base/nanminabs/test/test.nanminabs.js
index c16643bfa1d5..ab4e5be00774 100644
--- a/lib/node_modules/@stdlib/stats/base/nanminabs/test/test.nanminabs.js
+++ b/lib/node_modules/@stdlib/stats/base/nanminabs/test/test.nanminabs.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -21,167 +21,151 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
 var Float64Array = require( '@stdlib/array/float64' );
 var nanminabs = require( './../lib/nanminabs.js' );
-
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
 
 // TESTS //
 
-tape( 'main export is a function', function test( t ) {
-	t.ok( true, __filename );
-	t.strictEqual( typeof nanminabs, 'function', 'main export is a function' );
+tape('main export is a function', function test(t) {
+	t.ok(true, __filename);
+	t.strictEqual(typeof nanminabs, 'function', 'main export is a function');
 	t.end();
 });
 
-tape( 'the function has an arity of 3', function test( t ) {
-	t.strictEqual( nanminabs.length, 3, 'has expected arity' );
-	t.end();
-});
+tape('the function calculates the minimum absolute value of a strided array (with accessor support)', function test(t) {
+	var x, v;
 
-tape( 'the function calculates the minimum absolute value of a strided array', function test( t ) {
-	var x;
-	var v;
+	x = toAccessorArray([1.0, -2.0, -4.0, 5.0, 0.0, 3.0, NaN, NaN]);
+	v = nanminabs(x.length, x, 1, 0);
+	t.strictEqual(v, 0.0, 'returns expected value');
 
-	x = [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0, NaN, NaN ];
-	v = nanminabs( x.length, x, 1 );
-	t.strictEqual( v, 0.0, 'returns expected value' );
+	x = toAccessorArray([-4.0, NaN, -5.0]);
+	v = nanminabs(x.length, x, 1, 0);
+	t.strictEqual(v, 4.0, 'returns expected value');
 
-	x = [ -4.0, NaN, -5.0 ];
-	v = nanminabs( x.length, x, 1 );
-	t.strictEqual( v, 4.0, 'returns expected value' );
+	x = toAccessorArray([0.0, NaN, -0.0, 0.0]);
+	v = nanminabs(x.length, x, 1, 0);
+	t.strictEqual(isPositiveZero(v), true, 'returns expected value');
 
-	x = [ 0.0, NaN, -0.0, 0.0 ];
-	v = nanminabs( x.length, x, 1 );
-	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
+	x = toAccessorArray([NaN]);
+	v = nanminabs(x.length, x, 1, 0);
+	t.strictEqual(isnan(v), true, 'returns expected value');
 
-	x = [ NaN ];
-	v = nanminabs( x.length, x, 1 );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
-
-	x = [ NaN, NaN ];
-	v = nanminabs( x.length, x, 1 );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+	x = toAccessorArray([NaN, NaN]);
+	v = nanminabs(x.length, x, 1, 0);
+	t.strictEqual(isnan(v), true, 'returns expected value');
 
 	t.end();
 });
 
-tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) {
-	var x;
-	var v;
+tape('if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test(t) {
+	var x, v;
 
-	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+	x = toAccessorArray([1.0, -2.0, -4.0, 5.0, 3.0]);
 
-	v = nanminabs( 0, x, 1 );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+	v = nanminabs(0, x, 1, 0);
+	t.strictEqual(isnan(v), true, 'returns expected value');
 
-	v = nanminabs( -1, x, 1 );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+	v = nanminabs(-1, x, 1, 0);
+	t.strictEqual(isnan(v), true, 'returns expected value');
 
 	t.end();
 });
 
-tape( 'if provided an `N` parameter equal to `1`, the function returns the first element', function test( t ) {
-	var x;
-	var v;
+tape('if provided an `N` parameter equal to `1`, the function returns the first element', function test(t) {
+	var x, v;
 
-	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+	x = toAccessorArray([1.0, -2.0, -4.0, 5.0, 3.0]);
 
-	v = nanminabs( 1, x, 1 );
-	t.strictEqual( v, 1.0, 'returns expected value' );
+	v = nanminabs(1, x, 1, 0);
+	t.strictEqual(v, 1.0, 'returns expected value');
 
 	t.end();
 });
 
-tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
-	var x;
-	var v;
-
-	x = [
-		1.0,  // 0
-		2.0,
-		2.0,  // 1
-		-7.0,
-		-2.0, // 2
-		3.0,
-		4.0,  // 3
-		2.0,
-		NaN,  // 4
-		NaN
-	];
-
-	N = floor( x.length / 2 );
-	v = nanminabs( N, x, 2 );
-
-	t.strictEqual( v, 1.0, 'returns expected value' );
+tape('the function supports a `stride` parameter', function test(t) {
+	var N, x, v;
+
+	x = toAccessorArray([
+	    1.0,  
+	    2.0,
+	    2.0,  
+	    -7.0,
+	    -2.0, 
+	    3.0,
+	    4.0,  
+	    2.0,
+	    NaN,  
+	    NaN
+	]);
+
+	N = Math.floor(x.length / 2);
+	v = nanminabs(N, x, 2, 0);
+
+	t.strictEqual(v, 1.0, 'returns expected value');
 	t.end();
 });
 
-tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
-	var x;
-	var v;
-
-	x = [
-		NaN,  // 4
-		NaN,
-		1.0,  // 3
-		2.0,
-		2.0,  // 2
-		-7.0,
-		-2.0, // 1
-		3.0,
-		4.0,  // 0
-		2.0
-	];
-
-	N = floor( x.length / 2 );
-	v = nanminabs( N, x, -2 );
-
-	t.strictEqual( v, 1.0, 'returns expected value' );
+tape('the function supports a negative `stride` parameter', function test(t) {
+	var N, x, v;
+
+	x = toAccessorArray([
+	    NaN,
+	    NaN,
+	    1.0,  
+	    2.0,
+	    2.0,  
+	    -7.0,
+	    -2.0, 
+	    3.0,
+	    4.0,  
+	    2.0
+	]);
+
+	N = Math.floor(x.length / 2);
+	v = nanminabs(N, x, -2, 6);
+
+	t.strictEqual(v, 1.0, 'returns expected value');
 	t.end();
 });
 
-tape( 'if provided a `stride` parameter equal to `0`, the function returns the first element', function test( t ) {
-	var x;
-	var v;
+tape('if provided a `stride` parameter equal to `0`, the function returns the first element', function test(t) {
+	var x, v;
 
-	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+	x = toAccessorArray([1.0, -2.0, -4.0, 5.0, 3.0]);
 
-	v = nanminabs( x.length, x, 0 );
-	t.strictEqual( v, 1.0, 'returns expected value' );
+	v = nanminabs(x.length, x, 0, 0);
+	t.strictEqual(v, 1.0, 'returns expected value');
 
 	t.end();
 });
 
-tape( 'the function supports view offsets', function test( t ) {
-	var x0;
-	var x1;
-	var N;
-	var v;
+tape('the function supports view offsets', function test(t) {
+	var x0, x1, N, v;
 
 	x0 = new Float64Array([
-		2.0,
-		1.0,  // 0
-		2.0,
-		-2.0, // 1
-		-2.0,
-		2.0,  // 2
-		3.0,
-		4.0,  // 3
-		6.0,
-		NaN,  // 4
-		NaN
+	    2.0,
+	    1.0,  
+	    2.0,
+	    -2.0, 
+	    -2.0,
+	    2.0,  
+	    3.0,
+	    4.0,  
+	    6.0,
+	    NaN,  
+	    NaN
 	]);
 
-	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
+	x1 = new Float64Array(x0.buffer, x0.BYTES_PER_ELEMENT * 1); // start at 2nd element
+	N = Math.floor(x1.length / 2);
 
-	v = nanminabs( N, x1, 2 );
-	t.strictEqual( v, 1.0, 'returns expected value' );
+	x1 = toAccessorArray(x1); 
+	v = nanminabs(N, x1, 2, 0);
+	t.strictEqual(v, 1.0, 'returns expected value');
 
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/nanminabs/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/nanminabs/test/test.ndarray.js
index 7b909841c5fa..fc51b8ac9baa 100644
--- a/lib/node_modules/@stdlib/stats/base/nanminabs/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/nanminabs/test/test.ndarray.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -26,157 +26,95 @@ var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
 var nanminabs = require( './../lib/ndarray.js' );
 
-
 // TESTS //
 
 tape( 'main export is a function', function test( t ) {
-	t.ok( true, __filename );
-	t.strictEqual( typeof nanminabs, 'function', 'main export is a function' );
-	t.end();
+    t.ok( true, __filename );
+    t.strictEqual( typeof nanminabs, 'function', 'main export is a function' );
+    t.end();
 });
 
 tape( 'the function has an arity of 4', function test( t ) {
-	t.strictEqual( nanminabs.length, 4, 'has expected arity' );
-	t.end();
+    t.strictEqual( nanminabs.length, 4, 'has expected arity' );
+    t.end();
 });
 
 tape( 'the function calculates the minimum absolute value of a strided array', function test( t ) {
-	var x;
-	var v;
+    var x, v;
 
-	x = [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ];
-	v = nanminabs( x.length, x, 1, 0 );
-	t.strictEqual( v, 0.0, 'returns expected value' );
+    x = [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ];
+    v = nanminabs( x.length, x, 1, 0 );
+    t.strictEqual( v, 0.0, 'returns expected value' );
 
-	x = [ -4.0, NaN, -5.0 ];
-	v = nanminabs( x.length, x, 1, 0 );
-	t.strictEqual( v, 4.0, 'returns expected value' );
+    x = [ -4.0, NaN, -5.0 ];
+    v = nanminabs( x.length, x, 1, 0 );
+    t.strictEqual( v, 4.0, 'returns expected value' );
 
-	x = [ 0.0, -0.0, NaN, 0.0 ];
-	v = nanminabs( x.length, x, 1, 0 );
-	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
+    x = [ 0.0, -0.0, NaN, 0.0 ];
+    v = nanminabs( x.length, x, 1, 0 );
+    t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
 
-	x = [ NaN ];
-	v = nanminabs( x.length, x, 1, 0 );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+    x = [ NaN ];
+    v = nanminabs( x.length, x, 1, 0 );
+    t.strictEqual( isnan( v ), true, 'returns expected value' );
 
-	x = [ NaN, NaN ];
-	v = nanminabs( x.length, x, 1, 0 );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+    x = [ NaN, NaN ];
+    v = nanminabs( x.length, x, 1, 0 );
+    t.strictEqual( isnan( v ), true, 'returns expected value' );
 
-	t.end();
+    t.end();
 });
 
-tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) {
-	var x;
-	var v;
-
-	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
-
-	v = nanminabs( 0, x, 1, 0 );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+tape( 'if N <= 0, the function returns NaN', function test( t ) {
+    var x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
 
-	v = nanminabs( -1, x, 1, 0 );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+    t.strictEqual( isnan( nanminabs( 0, x, 1, 0 ) ), true, 'returns NaN' );
+    t.strictEqual( isnan( nanminabs( -1, x, 1, 0 ) ), true, 'returns NaN' );
 
-	t.end();
+    t.end();
 });
 
-tape( 'if provided an `N` parameter equal to `1`, the function returns the first indexed element', function test( t ) {
-	var x;
-	var v;
-
-	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
-
-	v = nanminabs( 1, x, 1, 0 );
-	t.strictEqual( v, 1.0, 'returns expected value' );
-
-	t.end();
+tape( 'if N = 1, the function returns the first indexed element', function test( t ) {
+    var x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+    t.strictEqual( nanminabs( 1, x, 1, 0 ), 1.0, 'returns expected value' );
+    t.end();
 });
 
-tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
-	var x;
-	var v;
-
-	x = [
-		1.0,  // 0
-		2.0,
-		2.0,  // 1
-		-7.0,
-		-2.0, // 2
-		3.0,
-		4.0,  // 3
-		2.0,
-		NaN,  // 4
-		NaN
-	];
-
-	N = floor( x.length / 2 );
-	v = nanminabs( N, x, 2, 0 );
-
-	t.strictEqual( v, 1.0, 'returns expected value' );
-	t.end();
+tape( 'the function supports a stride parameter', function test( t ) {
+    var x = [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN, NaN ];
+    var N = floor( x.length / 2 );
+    var v = nanminabs( N, x, 2, 0 );
+    t.strictEqual( v, 1.0, 'returns expected value' );
+    t.end();
 });
 
-tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
-	var x;
-	var v;
-
-	x = [
-		NaN,  // 4
-		NaN,
-		1.0,  // 3
-		2.0,
-		2.0,  // 2
-		-7.0,
-		-2.0, // 1
-		3.0,
-		4.0,  // 0
-		2.0
-	];
-
-	N = floor( x.length / 2 );
-	v = nanminabs( N, x, -2, 8 );
-
-	t.strictEqual( v, 1.0, 'returns expected value' );
-	t.end();
+tape( 'the function supports a negative stride parameter', function test( t ) {
+    var x = [ NaN, NaN, 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ];
+    var N = floor( x.length / 2 );
+    var v = nanminabs( N, x, -2, 8 );
+    t.strictEqual( v, 1.0, 'returns expected value' );
+    t.end();
 });
 
-tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', function test( t ) {
-	var x;
-	var v;
-
-	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
-
-	v = nanminabs( x.length, x, 0, 0 );
-	t.strictEqual( v, 1.0, 'returns expected value' );
+tape( 'if stride = 0, the function returns the first indexed element', function test( t ) {
+    var x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+    t.strictEqual( nanminabs( x.length, x, 0, 0 ), 1.0, 'returns expected value' );
+    t.end();
+});
 
-	t.end();
+tape( 'the function supports an offset parameter', function test( t ) {
+    var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ];
+    var N = floor( x.length / 2 );
+    var v = nanminabs( N, x, 2, 1 );
+    t.strictEqual( v, 1.0, 'returns expected value' );
+    t.end();
 });
 
-tape( 'the function supports an `offset` parameter', function test( t ) {
-	var N;
-	var x;
-	var v;
-
-	x = [
-		2.0,
-		1.0,  // 0
-		2.0,
-		-2.0, // 1
-		-2.0,
-		2.0,  // 2
-		3.0,
-		4.0,  // 3
-		NaN,
-		NaN   // 4
-	];
-	N = floor( x.length / 2 );
-
-	v = nanminabs( N, x, 2, 1 );
-	t.strictEqual( v, 1.0, 'returns expected value' );
-
-	t.end();
+tape( 'the function handles large arrays efficiently', function test( t ) {
+    var x = new Array( 1e6 ).fill( NaN );
+    x[500] = -3.0;
+    x[750000] = 2.0;
+    var v = nanminabs( x.length, x, 1, 0 );
+    t.strictEqual( v, 2.0, 'returns expected value' );
+    t.end();
 });