refactor: update paths

Ref: stdlib-js#4797

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Author: aayush0325

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

@@ -2145,8 +2145,8 @@ ns.push({
 
 ns.push({
 	'alias': 'base.strided.dsvariance',
-	'path': '@stdlib/stats/base/dsvariance',
-	'value': require( '@stdlib/stats/base/dsvariance' ),
+	'path': '@stdlib/stats/strided/dsvariance',
+	'value': require( '@stdlib/stats/strided/dsvariance' ),
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/base/dvariance',
@@ -2165,7 +2165,7 @@ ns.push({
 	'related': [
 		'@stdlib/stats/base/dvariancepn',
 		'@stdlib/stats/base/dsnanvariancepn',
-		'@stdlib/stats/base/dsvariance',
+		'@stdlib/stats/strided/dsvariance',
 		'@stdlib/stats/base/variancepn',
 		'@stdlib/stats/base/sdsvariance',
 		'@stdlib/stats/base/svariancepn'

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

@@ -112,7 +112,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dstdevtk( N, correction, x, strideX )`][@stdlib/stats/strided/dstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.</span>
 -   <span class="signature">[`dstdevwd( N, correction, x, strideX )`][@stdlib/stats/strided/dstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.</span>
 -   <span class="signature">[`dstdevyc( N, correction, x, strideX )`][@stdlib/stats/strided/dstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
--   <span class="signature">[`dsvariance( N, correction, x, strideX )`][@stdlib/stats/base/dsvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.</span>
+-   <span class="signature">[`dsvariance( N, correction, x, strideX )`][@stdlib/stats/strided/dsvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dsvariancepn( N, correction, x, strideX )`][@stdlib/stats/base/dsvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.</span>
 -   <span class="signature">[`dvariance( N, correction, x, strideX )`][@stdlib/stats/base/dvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dvariancech( N, correction, x, strideX )`][@stdlib/stats/base/dvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
@@ -409,7 +409,7 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/strided/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dstdevyc
 
-[@stdlib/stats/base/dsvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsvariance
+[@stdlib/stats/strided/dsvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsvariance
 
 [@stdlib/stats/base/dsvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsvariancepn
 

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

@@ -351,7 +351,7 @@ int main( void ) {
 ## See Also
 
 -   <span class="package-name">[`@stdlib/stats/base/dvariancepn`][@stdlib/stats/base/dvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.</span>
--   <span class="package-name">[`@stdlib/stats/base/dsvariance`][@stdlib/stats/base/dsvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dsvariance`][@stdlib/stats/strided/dsvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.</span>
 -   <span class="package-name">[`@stdlib/stats/base/variancepn`][@stdlib/stats/base/variancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a two-pass algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/svariancepn`][@stdlib/stats/base/svariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.</span>
 
@@ -377,7 +377,7 @@ int main( void ) {
 
 [@stdlib/stats/base/dvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancepn
 
-[@stdlib/stats/base/dsvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsvariance
+[@stdlib/stats/strided/dsvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsvariance
 
 [@stdlib/stats/base/variancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/variancepn