refactor: update paths

Ref: #4797

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---

Author: aayush0325

lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js

@@ -554,7 +554,7 @@ ns.push({
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/base/dmean',
-		'@stdlib/stats/base/dnanmeanors',
+		'@stdlib/stats/strided/dnanmeanors',
 		'@stdlib/stats/base/meanors',
 		'@stdlib/stats/base/smeanors'
 	]
@@ -1031,8 +1031,8 @@ ns.push({
 
 ns.push({
 	'alias': 'base.strided.dnanmeanors',
-	'path': '@stdlib/stats/base/dnanmeanors',
-	'value': require( '@stdlib/stats/base/dnanmeanors' ),
+	'path': '@stdlib/stats/strided/dnanmeanors',
+	'value': require( '@stdlib/stats/strided/dnanmeanors' ),
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/strided/dmeanors',
@@ -1764,7 +1764,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/dsnanmeanors' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanmeanors',
+		'@stdlib/stats/strided/dnanmeanors',
 		'@stdlib/stats/base/dsmeanors',
 		'@stdlib/stats/base/dsnanmean',
 		'@stdlib/stats/base/nanmeanors',

lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/n.js

@@ -87,7 +87,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/nanmeanors' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanmeanors',
+		'@stdlib/stats/strided/dnanmeanors',
 		'@stdlib/stats/base/meanors',
 		'@stdlib/stats/base/nanmean',
 		'@stdlib/stats/base/snanmeanors'

lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js

@@ -1092,7 +1092,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/snanmeanors' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanmeanors',
+		'@stdlib/stats/strided/dnanmeanors',
 		'@stdlib/stats/base/nanmeanors',
 		'@stdlib/stats/base/smeanors',
 		'@stdlib/stats/base/snanmean'

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

@@ -71,7 +71,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array according to a mask.</span>
 -   <span class="signature">[`dmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array according to a mask.</span>
 -   <span class="signature">[`dmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array according to a mask.</span>
--   <span class="signature">[`dnanmeanors( N, x, strideX )`][@stdlib/stats/base/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="signature">[`dnanmeanors( N, x, strideX )`][@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="signature">[`dnanmeanpn( N, x, strideX )`][@stdlib/stats/base/dnanmeanpn]</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 a two-pass error correction algorithm.</span>
 -   <span class="signature">[`dnanmeanpw( N, x, strideX )`][@stdlib/stats/base/dnanmeanpw]</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 pairwise summation.</span>
 -   <span class="signature">[`dnanmeanwd( N, x, strideX )`][@stdlib/stats/base/dnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values.</span>
@@ -330,7 +330,7 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/dmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmskrange
 
-[@stdlib/stats/base/dnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanors
+[@stdlib/stats/strided/dnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanors
 
 [@stdlib/stats/base/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpn
 

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

@@ -308,7 +308,7 @@ int main( void ) {
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats/base/dnanmeanors`][@stdlib/stats/base/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/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/base/dsnanmean`][@stdlib/stats/base/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>
@@ -331,7 +331,7 @@ int main( void ) {
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanors
+[@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
 

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

@@ -137,7 +137,7 @@ var v = nanmeanors.ndarray( N, x, 2, 1 );
 -   If `N <= 0`, both functions return `NaN`.
 -   If every indexed element is `NaN`, 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.
--   Depending on the environment, the typed versions ([`dnanmeanors`][@stdlib/stats/base/dnanmeanors], [`snanmeanors`][@stdlib/stats/base/snanmeanors], etc.) are likely to be significantly more performant.
+-   Depending on the environment, the typed versions ([`dnanmeanors`][@stdlib/stats/strided/dnanmeanors], [`snanmeanors`][@stdlib/stats/base/snanmeanors], etc.) are likely to be significantly more performant.
 
 </section>
 
@@ -190,7 +190,7 @@ console.log( v );
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats/base/dnanmeanors`][@stdlib/stats/base/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/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/meanors`][@stdlib/stats/base/meanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using ordinary recursive summation.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanmean`][@stdlib/stats/base/nanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanmeanors`][@stdlib/stats/base/snanmeanors]</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 ordinary recursive summation.</span>
@@ -211,7 +211,7 @@ console.log( v );
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanors
+[@stdlib/stats/strided/dnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanors
 
 [@stdlib/stats/base/meanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanors
 

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

@@ -288,7 +288,7 @@ int main( void ) {
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats/base/dnanmeanors`][@stdlib/stats/base/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/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/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/smeanors`][@stdlib/stats/base/smeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanmean`][@stdlib/stats/base/snanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.</span>
@@ -309,7 +309,7 @@ int main( void ) {
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanors
+[@stdlib/stats/strided/dnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanors
 
 [@stdlib/stats/base/nanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanors
 

lib/node_modules/@stdlib/stats/strided/dmeanors/README.md

@@ -287,7 +287,7 @@ int main( void ) {
 ## See Also
 
 -   <span class="package-name">[`@stdlib/stats/base/dmean`][@stdlib/stats/base/dmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array.</span>
--   <span class="package-name">[`@stdlib/stats/base/dnanmeanors`][@stdlib/stats/base/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/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/meanors`][@stdlib/stats/base/meanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using ordinary recursive summation.</span>
 -   <span class="package-name">[`@stdlib/stats/base/smeanors`][@stdlib/stats/base/smeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation.</span>
 
@@ -309,7 +309,7 @@ int main( void ) {
 
 [@stdlib/stats/base/dmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmean
 
-[@stdlib/stats/base/dnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanors
+[@stdlib/stats/strided/dnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanors
 
 [@stdlib/stats/base/meanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanors