diff --git a/lib/node_modules/@stdlib/stats/base/meanors/README.md b/lib/node_modules/@stdlib/stats/base/meanors/README.md
index 43651202ea2c..0fdc33d08ffb 100644
--- a/lib/node_modules/@stdlib/stats/base/meanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/meanors/README.md
@@ -51,15 +51,14 @@ The [arithmetic mean][arithmetic-mean] is defined as
 var meanors = require( '@stdlib/stats/base/meanors' );
 ```
 
-#### meanors( N, x, stride )
+#### meanors( N, x, strideX )
 
-Computes the [arithmetic mean][arithmetic-mean] of a strided array `x` using ordinary recursive summation.
+Computes the [arithmetic mean][arithmetic-mean] of a strided array using ordinary recursive summation.
 
 ```javascript
 var x = [ 1.0, -2.0, 2.0 ];
-var N = x.length;
 
-var v = meanors( N, x, 1 );
+var v = meanors( x.length, x, 1 );
 // returns ~0.3333
 ```
 
@@ -67,17 +66,14 @@ 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 [arithmetic mean][arithmetic-mean] of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] 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 ];
-var N = floor( x.length / 2 );
 
-var v = meanors( N, x, 2 );
+var v = meanors( 4, x, 2 );
 // returns 1.25
 ```
 
@@ -87,42 +83,35 @@ 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, 2.0, 3.0, 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 = meanors( N, x1, 2 );
+var v = meanors( 4, x1, 2 );
 // returns 1.25
 ```
 
-#### meanors.ndarray( N, x, stride, offset )
+#### meanors.ndarray( N, x, strideX, offsetX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a strided array using ordinary recursive summation and alternative indexing semantics.
 
 ```javascript
 var x = [ 1.0, -2.0, 2.0 ];
-var N = x.length;
 
-var v = meanors.ndarray( N, x, 1, 0 );
+var v = meanors.ndarray( x.length, x, 1, 0 );
 // returns ~0.33333
 ```
 
 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 [arithmetic mean][arithmetic-mean] 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 [arithmetic mean][arithmetic-mean] 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, 2.0, 3.0, 4.0 ];
-var N = floor( x.length / 2 );
 
-var v = meanors.ndarray( N, x, 2, 1 );
+var v = meanors.ndarray( 4, x, 2, 1 );
 // returns 1.25
 ```
 
@@ -136,6 +125,7 @@ var v = meanors.ndarray( N, x, 2, 1 );
 
 -   If `N <= 0`, both functions return `NaN`.
 -   Ordinary recursive summation (i.e., a "simple" sum) is performant, but can incur significant numerical error. If performance is paramount and error tolerated, using ordinary recursive summation to compute an arithmetic mean is acceptable; in all other cases, exercise due caution.
+-   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 ([`dmeanors`][@stdlib/stats/strided/dmeanors], [`smeanors`][@stdlib/stats/base/smeanors], etc.) are likely to be significantly more performant.
 
 </section>
@@ -149,18 +139,12 @@ var v = meanors.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 discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var meanors = require( '@stdlib/stats/base/meanors' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    x[ i ] = round( (randu()*100.0) - 50.0 );
-}
+var x = discreteUniform( 10, -50, 50, {
+    'dtype': 'float64'
+});
 console.log( x );
 
 var v = meanors( x.length, x, 1 );
@@ -204,6 +188,8 @@ 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/dmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmeanors
diff --git a/lib/node_modules/@stdlib/stats/base/meanors/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/meanors/benchmark/benchmark.js
index 786039489d6a..1a86329d32c9 100644
--- a/lib/node_modules/@stdlib/stats/base/meanors/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/meanors/benchmark/benchmark.js
@@ -21,11 +21,18 @@
 // 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 meanors = require( './../lib/meanors.js' );
+var meanors = require( './../lib/main.js' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'generic'
+};
 
 
 // FUNCTIONS //
@@ -38,13 +45,7 @@ var meanors = require( './../lib/meanors.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = [];
-	for ( i = 0; i < len; i++ ) {
-		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/meanors/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/meanors/benchmark/benchmark.ndarray.js
index dc4523cd5eda..228271e6ed20 100644
--- a/lib/node_modules/@stdlib/stats/base/meanors/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/meanors/benchmark/benchmark.ndarray.js
@@ -21,13 +21,20 @@
 // 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 meanors = require( './../lib/ndarray.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'generic'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -38,13 +45,7 @@ var meanors = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = [];
-	for ( i = 0; i < len; i++ ) {
-		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/meanors/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/meanors/docs/repl.txt
index 1027d7775651..bc1488356863 100644
--- a/lib/node_modules/@stdlib/stats/base/meanors/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/meanors/docs/repl.txt
@@ -1,10 +1,10 @@
 
-{{alias}}( N, x, stride )
+{{alias}}( N, x, strideX )
     Computes the arithmetic mean of a strided array using ordinary recursive
     summation.
 
-    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.
@@ -19,8 +19,8 @@
     x: Array<number>|TypedArray
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
     Returns
     -------
@@ -36,20 +36,17 @@
 
     // Using `N` and `stride` parameters:
     > x = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ];
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, x, stride )
+    > {{alias}}( 3, x, 2 )
     ~0.3333
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > 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}}( 3, x1, 2 )
     ~-0.3333
 
-{{alias}}.ndarray( N, x, stride, offset )
+
+{{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the arithmetic mean of a strided array using ordinary recursive
     summation and alternative indexing semantics.
 
@@ -65,10 +62,10 @@
     x: Array<number>|TypedArray
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns
@@ -86,7 +83,7 @@
     // Using offset parameter:
     > var x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ];
     > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, x, 2, 1 )
+    > {{alias}}.ndarray( 3, x, 2, 1 )
     ~-0.3333
 
     See Also
diff --git a/lib/node_modules/@stdlib/stats/base/meanors/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/meanors/docs/types/index.d.ts
index 2a9435fe895b..eb7ee69aeaca 100644
--- a/lib/node_modules/@stdlib/stats/base/meanors/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/meanors/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 `meanors`.
@@ -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 arithmetic mean
 	*
 	* @example
@@ -40,15 +45,15 @@ interface Routine {
 	* var v = meanors( x.length, x, 1 );
 	* // returns ~0.3333
 	*/
-	( N: number, x: NumericArray, stride: number ): number;
+	( N: number, x: InputArray, strideX: number ): number;
 
 	/**
 	* Computes the arithmetic mean of a strided array using ordinary recursive summation and 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 arithmetic mean
 	*
 	* @example
@@ -57,7 +62,7 @@ interface Routine {
 	* var v = meanors.ndarray( x.length, x, 1, 0 );
 	* // returns ~0.3333
 	*/
-	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 arithmetic mean
 *
 * @example
diff --git a/lib/node_modules/@stdlib/stats/base/meanors/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/meanors/docs/types/test.ts
index 6a1c6df4ad12..17cf2bdda002 100644
--- a/lib/node_modules/@stdlib/stats/base/meanors/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/stats/base/meanors/docs/types/test.ts
@@ -16,6 +16,7 @@
 * limitations under the License.
 */
 
+import AccessorArray = require( '@stdlib/array/base/accessor' );
 import meanors = require( './index' );
 
 
@@ -26,6 +27,7 @@ import meanors = require( './index' );
 	const x = new Float64Array( 10 );
 
 	meanors( x.length, x, 1 ); // $ExpectType number
+	meanors( 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 meanors = require( './index' );
 	const x = new Float64Array( 10 );
 
 	meanors.ndarray( x.length, x, 1, 0 ); // $ExpectType number
+	meanors.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/meanors/examples/index.js b/lib/node_modules/@stdlib/stats/base/meanors/examples/index.js
index 5d0dca7b792c..317d437739cb 100644
--- a/lib/node_modules/@stdlib/stats/base/meanors/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/meanors/examples/index.js
@@ -18,18 +18,12 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var meanors = require( './../lib' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-	x[ i ] = round( (randu()*100.0) - 50.0 );
-}
+var x = discreteUniform( 10, -50, 50, {
+	'dtype': 'float64'
+});
 console.log( x );
 
 var v = meanors( x.length, x, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/meanors/lib/index.js b/lib/node_modules/@stdlib/stats/base/meanors/lib/index.js
index e5d6ba05786d..104b6ccffae3 100644
--- a/lib/node_modules/@stdlib/stats/base/meanors/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/meanors/lib/index.js
@@ -27,19 +27,16 @@
 * var meanors = require( '@stdlib/stats/base/meanors' );
 *
 * var x = [ 1.0, -2.0, 2.0 ];
-* var N = x.length;
 *
-* var v = meanors( N, x, 1 );
+* var v = meanors( x.length, x, 1 );
 * // returns ~0.3333
 *
 * @example
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var meanors = require( '@stdlib/stats/base/meanors' );
 *
 * var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
-* var N = floor( x.length / 2 );
 *
-* var v = meanors.ndarray( N, x, 2, 1 );
+* var v = meanors.ndarray( 4, x, 2, 1 );
 * // returns 1.25
 */
 
diff --git a/lib/node_modules/@stdlib/stats/base/meanors/lib/meanors.js b/lib/node_modules/@stdlib/stats/base/meanors/lib/meanors.js
index a90aa15b2844..33c9c9c7b20b 100644
--- a/lib/node_modules/@stdlib/stats/base/meanors/lib/meanors.js
+++ b/lib/node_modules/@stdlib/stats/base/meanors/lib/meanors.js
@@ -20,7 +20,8 @@
 
 // MODULES //
 
-var gsumors = require( '@stdlib/blas/ext/base/gsumors' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
 
 
 // MAIN //
@@ -30,24 +31,17 @@ var gsumors = require( '@stdlib/blas/ext/base/gsumors' );
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {NumericArray} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
 * @returns {number} arithmetic mean
 *
 * @example
 * var x = [ 1.0, -2.0, 2.0 ];
-* var N = x.length;
 *
-* var v = meanors( N, x, 1 );
+* var v = meanors( x.length, x, 1 );
 * // returns ~0.3333
 */
-function meanors( N, x, stride ) {
-	if ( N <= 0 ) {
-		return NaN;
-	}
-	if ( N === 1 || stride === 0 ) {
-		return x[ 0 ];
-	}
-	return gsumors( N, x, stride ) / N;
+function meanors( N, x, strideX ) {
+	return ndarray( N, x, strideX, stride2offset( N, strideX ) );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/meanors/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/meanors/lib/ndarray.js
index e84c5247dc6e..bcae044a0580 100644
--- a/lib/node_modules/@stdlib/stats/base/meanors/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/meanors/lib/ndarray.js
@@ -30,27 +30,21 @@ var gsumors = require( '@stdlib/blas/ext/base/gsumors' ).ndarray;
 *
 * @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} arithmetic mean
 *
 * @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 ];
-* var N = floor( x.length / 2 );
 *
-* var v = meanors( N, x, 2, 1 );
+* var v = meanors( 4, x, 2, 1 );
 * // returns 1.25
 */
-function meanors( N, x, stride, offset ) {
+function meanors( N, x, strideX, offsetX ) {
 	if ( N <= 0 ) {
 		return NaN;
 	}
-	if ( N === 1 || stride === 0 ) {
-		return x[ offset ];
-	}
-	return gsumors( N, x, stride, offset ) / N;
+	return gsumors( N, x, strideX, offsetX ) / N;
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/meanors/test/test.meanors.js b/lib/node_modules/@stdlib/stats/base/meanors/test/test.meanors.js
index 9a3159a1650e..9c91bd97cc0b 100644
--- a/lib/node_modules/@stdlib/stats/base/meanors/test/test.meanors.js
+++ b/lib/node_modules/@stdlib/stats/base/meanors/test/test.meanors.js
@@ -21,10 +21,10 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
-var meanors = require( './../lib/meanors.js' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var meanors = require( './../lib/main.js' );
 
 
 // TESTS //
@@ -57,6 +57,23 @@ tape( 'the function calculates the arithmetic mean of a strided array', function
 	t.end();
 });
 
+tape( 'the function calculates the arithmetic mean 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 ];
+
+	v = meanors( x.length, toAccessorArray( x ), 1 );
+	t.strictEqual( v, 0.5, 'returns expected value' );
+
+	x = [ -4.0 ];
+
+	v = meanors( x.length, toAccessorArray( x ), 1 );
+	t.strictEqual( v, -4.0, '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;
@@ -72,6 +89,21 @@ tape( 'if provided an `N` parameter less than or equal to `0`, the function retu
 	t.end();
 });
 
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN` (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+
+	v = meanors( 0, toAccessorArray( x ), 1 );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	v = meanors( -1, toAccessorArray( x ), 1 );
+	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;
@@ -84,8 +116,19 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 	t.end();
 });
 
+tape( 'if provided an `N` parameter equal to `1`, the function returns the first element (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+
+	v = meanors( 1, toAccessorArray( x ), 1 );
+	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;
 
@@ -100,15 +143,34 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		2.0
 	];
 
-	N = floor( x.length / 2 );
-	v = meanors( N, x, 2 );
+	v = meanors( 4, x, 2 );
+
+	t.strictEqual( v, 1.25, '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
+	];
+
+	v = meanors( 4, toAccessorArray( x ), 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -123,8 +185,28 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	];
 
-	N = floor( x.length / 2 );
-	v = meanors( N, x, -2 );
+	v = meanors( 4, x, -2 );
+
+	t.strictEqual( v, 1.25, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	];
+
+	v = meanors( 4, toAccessorArray( x ), -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -142,10 +224,21 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 	t.end();
 });
 
+tape( 'if provided a `stride` parameter equal to `0`, the function returns the first element (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+
+	v = meanors( x.length, toAccessorArray( x ), 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;
 
 	x0 = new Float64Array([
@@ -161,9 +254,33 @@ 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 = meanors( N, x1, 2 );
+	v = meanors( 4, x1, 2 );
+	t.strictEqual( v, 1.25, '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
+	]);
+
+	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+	v = meanors( 4, toAccessorArray( x1 ), 2 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/meanors/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/meanors/test/test.ndarray.js
index 27eeea78a654..073d2c68ed53 100644
--- a/lib/node_modules/@stdlib/stats/base/meanors/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/meanors/test/test.ndarray.js
@@ -21,8 +21,8 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
 var meanors = require( './../lib/ndarray.js' );
 
 
@@ -56,6 +56,23 @@ tape( 'the function calculates the arithmetic mean of a strided array', function
 	t.end();
 });
 
+tape( 'the function calculates the arithmetic mean 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 ];
+
+	v = meanors( x.length, toAccessorArray( x ), 1, 0 );
+	t.strictEqual( v, 0.5, 'returns expected value' );
+
+	x = [ -4.0 ];
+
+	v = meanors( x.length, toAccessorArray( x ), 1, 0 );
+	t.strictEqual( v, -4.0, '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;
@@ -71,6 +88,21 @@ tape( 'if provided an `N` parameter less than or equal to `0`, the function retu
 	t.end();
 });
 
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN` (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+
+	v = meanors( 0, toAccessorArray( x ), 1, 0 );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	v = meanors( -1, toAccessorArray( 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 indexed element', function test( t ) {
 	var x;
 	var v;
@@ -83,8 +115,19 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 	t.end();
 });
 
+tape( 'if provided an `N` parameter equal to `1`, the function returns the first indexed element (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+
+	v = meanors( 1, toAccessorArray( 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;
 
@@ -99,15 +142,34 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		2.0
 	];
 
-	N = floor( x.length / 2 );
-	v = meanors( N, x, 2, 0 );
+	v = meanors( 4, x, 2, 0 );
+
+	t.strictEqual( v, 1.25, '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
+	];
+
+	v = meanors( 4, toAccessorArray( x ), 2, 0 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -122,8 +184,28 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	];
 
-	N = floor( x.length / 2 );
-	v = meanors( N, x, -2, 6 );
+	v = meanors( 4, x, -2, 6 );
+
+	t.strictEqual( v, 1.25, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	];
+
+	v = meanors( 4, toAccessorArray( x ), -2, 6 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -141,8 +223,19 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 	t.end();
 });
 
+tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+
+	v = meanors( x.length, toAccessorArray( x ), 0, 0 );
+	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;
 
@@ -156,9 +249,29 @@ tape( 'the function supports an `offset` parameter', function test( t ) {
 		3.0,
 		4.0   // 3
 	];
-	N = floor( x.length / 2 );
 
-	v = meanors( N, x, 2, 1 );
+	v = meanors( 4, x, 2, 1 );
+	t.strictEqual( v, 1.25, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an `offset` parameter (accessors)', 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
+	];
+
+	v = meanors( 4, toAccessorArray( x ), 2, 1 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();