refactor: update paths

Ref: #4797

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---

Author: aayush0325

Diff for: lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js

@@ -1690,8 +1690,8 @@ ns.push({
 
 ns.push({
 	'alias': 'base.strided.dsmeanors',
-	'path': '@stdlib/stats/base/dsmeanors',
-	'value': require( '@stdlib/stats/base/dsmeanors' ),
+	'path': '@stdlib/stats/strided/dsmeanors',
+	'value': require( '@stdlib/stats/strided/dsmeanors' ),
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/strided/dmeanors',
@@ -1765,7 +1765,7 @@ ns.push({
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/strided/dnanmeanors',
-		'@stdlib/stats/base/dsmeanors',
+		'@stdlib/stats/strided/dsmeanors',
 		'@stdlib/stats/strided/dsnanmean',
 		'@stdlib/stats/base/nanmeanors',
 		'@stdlib/stats/base/sdsnanmean',

Diff for: lib/node_modules/@stdlib/stats/base/README.md

@@ -98,7 +98,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dsemwd( N, correction, x, strideX )`][@stdlib/stats/strided/dsemwd]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using Welford's algorithm.</span>
 -   <span class="signature">[`dsemyc( N, correction, x, strideX )`][@stdlib/stats/strided/dsemyc]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
 -   <span class="signature">[`dsmean( N, x, strideX )`][@stdlib/stats/strided/dsmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.</span>
--   <span class="signature">[`dsmeanors( N, x, strideX )`][@stdlib/stats/base/dsmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.</span>
+-   <span class="signature">[`dsmeanors( N, x, strideX )`][@stdlib/stats/strided/dsmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dsmeanpn( N, x, strideX )`][@stdlib/stats/strided/dsmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dsmeanpw( N, x, strideX )`][@stdlib/stats/strided/dsmeanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dsmeanwd( N, x, strideX )`][@stdlib/stats/strided/dsmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.</span>
@@ -381,7 +381,7 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/strided/dsmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsmean
 
-[@stdlib/stats/base/dsmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsmeanors
+[@stdlib/stats/strided/dsmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsmeanors
 
 [@stdlib/stats/strided/dsmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsmeanpn
 

Diff for: lib/node_modules/@stdlib/stats/strided/dsnanmeanors/README.md

@@ -309,7 +309,7 @@ int main( void ) {
 ## See Also
 
 -   <span class="package-name">[`@stdlib/stats/strided/dnanmeanors`][@stdlib/stats/strided/dnanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.</span>
--   <span class="package-name">[`@stdlib/stats/base/dsmeanors`][@stdlib/stats/base/dsmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dsmeanors`][@stdlib/stats/strided/dsmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.</span>
 -   <span class="package-name">[`@stdlib/stats/strided/dsnanmean`][@stdlib/stats/strided/dsnanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using extended accumulation, and returning an extended precision result.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanmeanors`][@stdlib/stats/base/nanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values and using ordinary recursive summation.</span>
 -   <span class="package-name">[`@stdlib/stats/base/sdsnanmean`][@stdlib/stats/base/sdsnanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using extended accumulation.</span>
@@ -333,7 +333,7 @@ int main( void ) {
 
 [@stdlib/stats/strided/dnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanors
 
-[@stdlib/stats/base/dsmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsmeanors
+[@stdlib/stats/strided/dsmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsmeanors
 
 [@stdlib/stats/strided/dsnanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsnanmean