docs: add note about accessor array support

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Author: rahulptl165

lib/node_modules/@stdlib/stats/base/nanvariancech/README.md

@@ -172,6 +172,7 @@ var v = nanvariancech.ndarray( 5, 1, 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]).
 -   If `n - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment and `n` corresponds to the number of non-`NaN` indexed elements), both functions return `NaN`.
 -   The underlying algorithm is a specialized case of Neely's two-pass algorithm. As the variance is invariant with respect to changes in the location parameter, the underlying algorithm uses the first non-`NaN` strided array element as a trial mean to shift subsequent data values and thus mitigate catastrophic cancellation. Accordingly, the algorithm's accuracy is best when data is **unordered** (i.e., the data is **not** sorted in either ascending or descending order such that the first value is an "extreme" value).
 -   Depending on the environment, the typed versions ([`dnanvariancech`][@stdlib/stats/strided/dnanvariancech], [`snanvariancech`][@stdlib/stats/base/snanvariancech], etc.) are likely to be significantly more performant.
@@ -273,6 +274,8 @@ console.log( v );
 
 [@stdlib/stats/base/variancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/variancech
 
+[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
+
 <!-- </related-links> -->
 
 </section>

lib/node_modules/@stdlib/stats/base/nanvariancech/lib/main.js

@@ -53,7 +53,7 @@ var ndarray = require( './ndarray.js' );
 * // returns ~4.3333
 */
 function nanvariancech( N, correction, x, strideX ) {
-	return ndarray( N, correction, x, strideX, stride2offset( N, strideX) );
+	return ndarray( N, correction, x, strideX, stride2offset( N, strideX ) );
 }