diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/README.md b/lib/node_modules/@stdlib/stats/base/nanmin/README.md
index fe5d3f8d44f8..28bd3dac58d5 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmin/README.md
+++ b/lib/node_modules/@stdlib/stats/base/nanmin/README.md
@@ -36,15 +36,14 @@ limitations under the License.
 var nanmin = require( '@stdlib/stats/base/nanmin' );
 ```
 
-#### nanmin( N, x, stride )
+#### nanmin( N, x, strideX )
 
-Computes the minimum value of a strided array `x`, ignoring `NaN` values.
+Computes the minimum value of a strided array, ignoring `NaN` values.
 
 ```javascript
 var x = [ 1.0, -2.0, NaN, 2.0 ];
-var N = x.length;
 
-var v = nanmin( N, x, 1 );
+var v = nanmin( 4, x, 1 );
 // returns -2.0
 ```
 
@@ -52,17 +51,14 @@ The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
--   **stride**: index increment for `x`.
+-   **strideX**: stride length for `x`.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the minimum value of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the minimum value of every other element in `x`,
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
-
 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 = nanmin( N, x, 2 );
+var v = nanmin( 5, x, 2 );
 // returns -2.0
 ```
 
@@ -72,42 +68,35 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, NaN, NaN, 4.0 ] );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = nanmin( N, x1, 2 );
+var v = nanmin( 4, x1, 2 );
 // returns -2.0
 ```
 
-#### nanmin.ndarray( N, x, stride, offset )
+#### nanmin.ndarray( N, x, strideX, offsetX )
 
 Computes the minimum value of a strided array, ignoring `NaN` values and using alternative indexing semantics.
 
 ```javascript
 var x = [ 1.0, -2.0, NaN, 2.0 ];
-var N = x.length;
 
-var v = nanmin.ndarray( N, x, 1, 0 );
+var v = nanmin.ndarray( 4, x, 1, 0 );
 // returns -2.0
 ```
 
 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 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 offset parameter supports indexing semantics based on a starting index. For example, to calculate the minimum value for every other element in `x` starting from the second element
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
-
 var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, NaN, NaN, 2.0, 3.0, 4.0 ];
-var N = floor( x.length / 2 );
 
-var v = nanmin.ndarray( N, x, 2, 1 );
+var v = nanmin.ndarray( 5, x, 2, 1 );
 // returns -2.0
 ```
 
@@ -120,6 +109,7 @@ var v = nanmin.ndarray( N, x, 2, 1 );
 ## Notes
 
 -   If `N <= 0`, both functions return `NaN`.
+-   Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
 -   Depending on the environment, the typed versions ([`dnanmin`][@stdlib/stats/strided/dnanmin], [`snanmin`][@stdlib/stats/strided/snanmin], etc.) are likely to be significantly more performant.
 
 </section>
@@ -133,22 +123,19 @@ var v = nanmin.ndarray( N, x, 2, 1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
 var nanmin = require( '@stdlib/stats/base/nanmin' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    if ( randu() < 0.2 ) {
-        x[ i ] = NaN;
-    } else {
-        x[ i ] = round( (randu()*100.0) - 50.0 );
+function rand() {
+    if ( bernoulli( 0.8 ) < 1 ) {
+        return NaN;
     }
+    return uniform( -50.0, 50.0 );
 }
+
+var x = filledarrayBy( 10, 'float64', rand );
 console.log( x );
 
 var v = nanmin( x.length, x, 1 );
@@ -184,6 +171,8 @@ console.log( v );
 
 [mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
 
+[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
+
 <!-- <related-links> -->
 
 [@stdlib/stats/strided/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmin
diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/nanmin/benchmark/benchmark.js
index fd02e3119ec0..e40d15fd59f7 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmin/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/nanmin/benchmark/benchmark.js
@@ -21,15 +21,30 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var pkg = require( './../package.json' ).name;
-var nanmin = require( './../lib/nanmin.js' );
+var nanmin = require( './../lib/main.js' );
 
 
 // FUNCTIONS //
 
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -38,17 +53,7 @@ var nanmin = require( './../lib/nanmin.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 = filledarrayBy( len, 'generic', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/nanmin/benchmark/benchmark.ndarray.js
index 139ea6d3f809..4b725aed43b8 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmin/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/nanmin/benchmark/benchmark.ndarray.js
@@ -21,7 +21,9 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var pkg = require( './../package.json' ).name;
@@ -30,6 +32,19 @@ var nanmin = require( './../lib/ndarray.js' );
 
 // FUNCTIONS //
 
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -38,17 +53,7 @@ var nanmin = 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 = filledarrayBy( len, 'generic', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/nanmin/docs/repl.txt
index 695bfb089530..64c938ffaa1d 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmin/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/nanmin/docs/repl.txt
@@ -1,9 +1,9 @@
 
-{{alias}}( N, x, stride )
+{{alias}}( N, x, strideX )
     Computes the minimum value of a strided array, ignoring `NaN` values.
 
-    The `N` and `stride` parameters determine which elements in `x` are accessed
-    at runtime.
+    The `N` and stride parameters determine which elements in the strided array
+    are accessed at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
     array view.
@@ -18,8 +18,8 @@
     x: Array<number>|TypedArray
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
     Returns
     -------
@@ -30,25 +30,22 @@
     --------
     // Standard Usage:
     > var x = [ 1.0, -2.0, NaN, 2.0 ];
-    > {{alias}}( x.length, x, 1 )
+    > {{alias}}( 4, x, 1 )
     -2.0
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ];
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, x, stride )
+    > {{alias}}( 4, x, 2 )
     -2.0
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > stride = 2;
-    > {{alias}}( N, x1, stride )
+    > {{alias}}( 4, x1, 2 )
     -2.0
 
-{{alias}}.ndarray( N, x, stride, offset )
+
+{{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the minimum value of a strided array, ignoring `NaN` values and
     using alternative indexing semantics.
 
@@ -64,10 +61,10 @@
     x: Array<number>|TypedArray
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns
@@ -79,13 +76,12 @@
     --------
     // Standard Usage:
     > var x = [ 1.0, -2.0, NaN, 2.0 ];
-    > {{alias}}.ndarray( x.length, x, 1, 0 )
+    > {{alias}}.ndarray( 4, x, 1, 0 )
     -2.0
 
     // Using offset parameter:
     > var x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ];
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, x, 2, 1 )
+    > {{alias}}.ndarray( 4, x, 2, 1 )
     -2.0
 
     See Also
diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/nanmin/docs/types/index.d.ts
index 9b69c530f4ff..02dbfe545ff7 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmin/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/nanmin/docs/types/index.d.ts
@@ -20,7 +20,12 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { NumericArray } from '@stdlib/types/array';
+import { NumericArray, Collection, AccessorArrayLike } from '@stdlib/types/array';
+
+/**
+* Input array.
+*/
+type InputArray = NumericArray | Collection<number> | AccessorArrayLike<number>;
 
 /**
 * Interface describing `nanmin`.
@@ -31,7 +36,7 @@ interface Routine {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns minimum value
 	*
 	* @example
@@ -40,15 +45,15 @@ interface Routine {
 	* var v = nanmin( x.length, x, 1 );
 	* // returns -2.0
 	*/
-	( N: number, x: NumericArray, stride: number ): number;
+	( N: number, x: InputArray, strideX: number ): number;
 
 	/**
 	* Computes the minimum value of a strided array, ignoring `NaN` values and using alternative indexing semantics.
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
-	* @param offset - starting index
+	* @param strideX - stride length
+	* @param offsetX - starting index
 	* @returns minimum value
 	*
 	* @example
@@ -57,7 +62,7 @@ interface Routine {
 	* var v = nanmin.ndarray( x.length, x, 1, 0 );
 	* // returns -2.0
 	*/
-	ndarray( N: number, x: NumericArray, stride: number, offset: number ): number;
+	ndarray( N: number, x: InputArray, strideX: number, offsetX: number ): number;
 }
 
 /**
@@ -65,7 +70,7 @@ interface Routine {
 *
 * @param N - number of indexed elements
 * @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
 * @returns minimum value
 *
 * @example
diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/nanmin/docs/types/test.ts
index 27062ad66245..390083bcad05 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmin/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/stats/base/nanmin/docs/types/test.ts
@@ -16,6 +16,7 @@
 * limitations under the License.
 */
 
+import AccessorArray = require( '@stdlib/array/base/accessor' );
 import nanmin = require( './index' );
 
 
@@ -26,6 +27,7 @@ import nanmin = require( './index' );
 	const x = new Float64Array( 10 );
 
 	nanmin( x.length, x, 1 ); // $ExpectType number
+	nanmin( x.length, new AccessorArray( x ), 1 ); // $ExpectType number
 }
 
 // The compiler throws an error if the function is provided a first argument which is not a number...
@@ -85,6 +87,7 @@ import nanmin = require( './index' );
 	const x = new Float64Array( 10 );
 
 	nanmin.ndarray( x.length, x, 1, 0 ); // $ExpectType number
+	nanmin.ndarray( x.length, new AccessorArray( x ), 1, 0 ); // $ExpectType number
 }
 
 // The compiler throws an error if the `ndarray` method is provided a first argument which is not a number...
diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/examples/index.js b/lib/node_modules/@stdlib/stats/base/nanmin/examples/index.js
index 8fe15cc10dab..82c8a18489fd 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmin/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/nanmin/examples/index.js
@@ -18,22 +18,19 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
 var nanmin = require( './../lib' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-	if ( randu() < 0.2 ) {
-		x[ i ] = NaN;
-	} else {
-		x[ i ] = round( (randu()*100.0) - 50.0 );
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
 	}
+	return uniform( -50.0, 50.0 );
 }
+
+var x = filledarrayBy( 10, 'float64', rand );
 console.log( x );
 
 var v = nanmin( x.length, x, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/lib/nanmin.js b/lib/node_modules/@stdlib/stats/base/nanmin/lib/accessors.js
similarity index 58%
rename from lib/node_modules/@stdlib/stats/base/nanmin/lib/nanmin.js
rename to lib/node_modules/@stdlib/stats/base/nanmin/lib/accessors.js
index a740132d1715..15f5e5c889c6 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmin/lib/nanmin.js
+++ b/lib/node_modules/@stdlib/stats/base/nanmin/lib/accessors.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.
@@ -29,41 +29,48 @@ var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
 /**
 * Computes the minimum value of a strided array, ignoring `NaN` values.
 *
+* @private
 * @param {PositiveInteger} N - number of indexed elements
-* @param {NumericArray} x - input array
-* @param {integer} stride - stride length
+* @param {Object} x - input array object
+* @param {Collection} x.data - input array data
+* @param {Array<Function>} x.accessors - array element accessor
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
 * @returns {number} minimum value
 *
 * @example
-* var x = [ 1.0, -2.0, NaN, 2.0 ];
-* var N = x.length;
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
 *
-* var v = nanmin( N, x, 1 );
+* var x = toAccessorArray( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
+*
+* var v = nanmin( 5, arraylike2object( x ), 2, 1 );
 * // returns -2.0
 */
-function nanmin( N, x, stride ) {
+function nanmin( N, x, strideX, offsetX ) {
+	var xget;
+	var xbuf;
 	var min;
 	var ix;
 	var v;
 	var i;
 
-	if ( N <= 0 ) {
-		return NaN;
-	}
-	if ( N === 1 || stride === 0 ) {
-		return x[ 0 ];
-	}
-	if ( stride < 0 ) {
-		ix = (1-N) * stride;
-	} else {
-		ix = 0;
+	// Cache reference to array data:
+	xbuf = x.data;
+
+	// Cache a reference to the element accessor:
+	xget = x.accessors[ 0 ];
+
+	if ( N === 1 || strideX === 0 ) {
+		return xget( xbuf, offsetX );
 	}
+	ix = offsetX;
 	for ( i = 0; i < N; i++ ) {
-		v = x[ ix ];
+		v = xget( xbuf, ix );
 		if ( v === v ) {
 			break;
 		}
-		ix += stride;
+		ix += strideX;
 	}
 	if ( i === N ) {
 		return NaN;
@@ -71,8 +78,8 @@ function nanmin( N, x, stride ) {
 	min = v;
 	i += 1;
 	for ( i; i < N; i++ ) {
-		ix += stride;
-		v = x[ ix ];
+		ix += strideX;
+		v = xget( xbuf, ix );
 		if ( isnan( v ) ) {
 			continue;
 		}
diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/lib/index.js b/lib/node_modules/@stdlib/stats/base/nanmin/lib/index.js
index 8b4d75f53034..0b814cae78d9 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmin/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/nanmin/lib/index.js
@@ -27,25 +27,29 @@
 * var nanmin = require( '@stdlib/stats/base/nanmin' );
 *
 * var x = [ 1.0, -2.0, NaN, 2.0 ];
-* var N = x.length;
 *
-* var v = nanmin( N, x, 1 );
+* var v = nanmin( 4, x, 1 );
 * // returns -2.0
 *
 * @example
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var nanmin = require( '@stdlib/stats/base/nanmin' );
 *
 * 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 = nanmin.ndarray( N, x, 2, 1 );
+* var v = nanmin.ndarray( 5, x, 2, 1 );
 * // returns -2.0
 */
 
 // MODULES //
 
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
 var main = require( './main.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'ndarray', ndarray );
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/lib/main.js b/lib/node_modules/@stdlib/stats/base/nanmin/lib/main.js
index 10f75d07bfa9..4a83fa8d7dbb 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmin/lib/main.js
+++ b/lib/node_modules/@stdlib/stats/base/nanmin/lib/main.js
@@ -20,14 +20,29 @@
 
 // MODULES //
 
-var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
-var nanmin = require( './nanmin.js' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
 var ndarray = require( './ndarray.js' );
 
 
 // MAIN //
 
-setReadOnly( nanmin, 'ndarray', ndarray );
+/**
+* Computes the minimum value of a strided array, ignoring `NaN` values.
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {NumericArray} x - input array
+* @param {integer} strideX - stride length
+* @returns {number} minimum value
+*
+* @example
+* var x = [ 1.0, -2.0, NaN, 2.0 ];
+*
+* var v = nanmin( 4, x, 1 );
+* // returns -2.0
+*/
+function nanmin( N, x, strideX ) {
+	return ndarray( N, x, strideX, stride2offset( N, strideX ) );
+}
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/nanmin/lib/ndarray.js
index 1b88405221e8..da8312fede87 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmin/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/nanmin/lib/ndarray.js
@@ -22,6 +22,8 @@
 
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
+var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
+var accessors = require( './accessors.js' );
 
 
 // MAIN //
@@ -31,38 +33,40 @@ var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
 *
 * @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 value
 *
 * @example
-* var floor = require( '@stdlib/math/base/special/floor' );
-*
 * 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 = nanmin( N, x, 2, 1 );
+* var v = nanmin( 5, x, 2, 1 );
 * // returns -2.0
 */
-function nanmin( N, x, stride, offset ) {
+function nanmin( N, x, strideX, offsetX ) {
 	var min;
 	var ix;
 	var v;
 	var i;
+	var o;
 
 	if ( N <= 0 ) {
 		return NaN;
 	}
-	if ( N === 1 || stride === 0 ) {
-		return x[ offset ];
+	o = arraylike2object( x );
+	if ( o.accessorProtocol ) {
+		return accessors( N, o, strideX, offsetX );
+	}
+	if ( N === 1 || strideX === 0 ) {
+		return x[ offsetX ];
 	}
-	ix = offset;
+	ix = offsetX;
 	for ( i = 0; i < N; i++ ) {
 		v = x[ ix ];
 		if ( v === v ) {
 			break;
 		}
-		ix += stride;
+		ix += strideX;
 	}
 	if ( i === N ) {
 		return NaN;
@@ -70,7 +74,7 @@ function nanmin( N, x, stride, offset ) {
 	min = v;
 	i += 1;
 	for ( i; i < N; i++ ) {
-		ix += stride;
+		ix += strideX;
 		v = x[ ix ];
 		if ( isnan( v ) ) {
 			continue;
diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/test/test.nanmin.js b/lib/node_modules/@stdlib/stats/base/nanmin/test/test.main.js
similarity index 63%
rename from lib/node_modules/@stdlib/stats/base/nanmin/test/test.nanmin.js
rename to lib/node_modules/@stdlib/stats/base/nanmin/test/test.main.js
index c7cedc838309..bf0495edc475 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmin/test/test.nanmin.js
+++ b/lib/node_modules/@stdlib/stats/base/nanmin/test/test.main.js
@@ -21,11 +21,11 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
 var Float64Array = require( '@stdlib/array/float64' );
-var nanmin = require( './../lib/nanmin.js' );
+var nanmin = require( './../lib/main.js' );
 
 
 // TESTS //
@@ -68,6 +68,33 @@ tape( 'the function calculates the minimum value of a strided array', function t
 	t.end();
 });
 
+tape( 'the function calculates the minimum value of a strided array (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0, NaN, NaN ];
+	v = nanmin( x.length, toAccessorArray( x ), 1 );
+	t.strictEqual( v, -4.0, 'returns expected value' );
+
+	x = [ -4.0, NaN, -5.0 ];
+	v = nanmin( x.length, toAccessorArray( x ), 1 );
+	t.strictEqual( v, -5.0, 'returns expected value' );
+
+	x = [ 0.0, NaN, -0.0, 0.0 ];
+	v = nanmin( x.length, toAccessorArray( x ), 1 );
+	t.strictEqual( isNegativeZero( v ), true, 'returns expected value' );
+
+	x = [ NaN ];
+	v = nanmin( x.length, toAccessorArray( x ), 1 );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	x = [ NaN, NaN ];
+	v = nanmin( x.length, toAccessorArray( x ), 1 );
+	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;
@@ -96,7 +123,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -113,15 +139,36 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN
 	];
 
-	N = floor( x.length / 2 );
-	v = nanmin( N, x, 2 );
+	v = nanmin( 5, x, 2 );
+
+	t.strictEqual( v, -2.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a `stride` parameter (accessors)', function test( t ) {
+	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
+	];
+
+	v = nanmin( 5, toAccessorArray( x ), 2 );
 
 	t.strictEqual( v, -2.0, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -138,8 +185,30 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	];
 
-	N = floor( x.length / 2 );
-	v = nanmin( N, x, -2 );
+	v = nanmin( 5, x, -2 );
+
+	t.strictEqual( v, -2.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter (accessors)', function test( t ) {
+	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
+	];
+
+	v = nanmin( 5, toAccessorArray( x ), -2 );
 
 	t.strictEqual( v, -2.0, 'returns expected value' );
 	t.end();
@@ -160,7 +229,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 tape( 'the function supports view offsets', function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float64Array([
@@ -178,9 +246,35 @@ tape( 'the function supports view offsets', function test( t ) {
 	]);
 
 	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = nanmin( N, x1, 2 );
+	v = nanmin( 5, x1, 2 );
+	t.strictEqual( v, -2.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports view offsets (accessors)', function test( t ) {
+	var x0;
+	var x1;
+	var 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
+	]);
+
+	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+	v = nanmin( 5, toAccessorArray( x1 ), 2 );
 	t.strictEqual( v, -2.0, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/nanmin/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/nanmin/test/test.ndarray.js
index de5eff440364..59458316a0d5 100644
--- a/lib/node_modules/@stdlib/stats/base/nanmin/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/nanmin/test/test.ndarray.js
@@ -21,7 +21,7 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' );
 var nanmin = require( './../lib/ndarray.js' );
@@ -67,6 +67,33 @@ tape( 'the function calculates the minimum value of a strided array', function t
 	t.end();
 });
 
+tape( 'the function calculates the minimum value of a strided array (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ];
+	v = nanmin( x.length, toAccessorArray( x ), 1, 0 );
+	t.strictEqual( v, -4.0, 'returns expected value' );
+
+	x = [ -4.0, NaN, -5.0 ];
+	v = nanmin( x.length, toAccessorArray( x ), 1, 0 );
+	t.strictEqual( v, -5.0, 'returns expected value' );
+
+	x = [ 0.0, -0.0, NaN, 0.0 ];
+	v = nanmin( x.length, toAccessorArray( x ), 1, 0 );
+	t.strictEqual( isNegativeZero( v ), true, 'returns expected value' );
+
+	x = [ NaN ];
+	v = nanmin( x.length, toAccessorArray( x ), 1, 0 );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	x = [ NaN, NaN ];
+	v = nanmin( x.length, toAccessorArray( 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;
@@ -95,7 +122,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -112,15 +138,59 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN
 	];
 
-	N = floor( x.length / 2 );
-	v = nanmin( N, x, 2, 0 );
+	v = nanmin( 5, x, 2, 0 );
+
+	t.strictEqual( v, -2.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a `stride` parameter (accessors)', function test( t ) {
+	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
+	];
+
+	v = nanmin( 5, toAccessorArray( x ), 2, 0 );
+
+	t.strictEqual( v, -2.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter', function test( t ) {
+	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
+	];
+
+	v = nanmin( 5, x, -2, 8 );
 
 	t.strictEqual( v, -2.0, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -137,8 +207,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	];
 
-	N = floor( x.length / 2 );
-	v = nanmin( N, x, -2, 8 );
+	v = nanmin( 5, toAccessorArray( x ), -2, 8 );
 
 	t.strictEqual( v, -2.0, 'returns expected value' );
 	t.end();
@@ -157,7 +226,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 });
 
 tape( 'the function supports an `offset` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -173,9 +241,31 @@ tape( 'the function supports an `offset` parameter', function test( t ) {
 		NaN,
 		NaN   // 4
 	];
-	N = floor( x.length / 2 );
 
-	v = nanmin( N, x, 2, 1 );
+	v = nanmin( 4, x, 2, 1 );
+	t.strictEqual( v, -2.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an `offset` parameter', function test( t ) {
+	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
+	];
+
+	v = nanmin( 4, toAccessorArray( x ), 2, 1 );
 	t.strictEqual( v, -2.0, 'returns expected value' );
 
 	t.end();