refactor: update paths

Ref: #4797

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---

Author: aayush0325

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

@@ -1248,7 +1248,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/dnanstdev' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanvariance',
+		'@stdlib/stats/strided/dnanvariance',
 		'@stdlib/stats/base/dstdev',
 		'@stdlib/stats/base/nanstdev',
 		'@stdlib/stats/base/snanstdev'
@@ -1400,8 +1400,8 @@ ns.push({
 
 ns.push({
 	'alias': 'base.strided.dnanvariance',
-	'path': '@stdlib/stats/base/dnanvariance',
-	'value': require( '@stdlib/stats/base/dnanvariance' ),
+	'path': '@stdlib/stats/strided/dnanvariance',
+	'value': require( '@stdlib/stats/strided/dnanvariance' ),
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/base/dnanstdev',
@@ -1419,7 +1419,7 @@ ns.push({
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/base/dvariancech',
-		'@stdlib/stats/base/dnanvariance',
+		'@stdlib/stats/strided/dnanvariance',
 		'@stdlib/stats/base/nanvariancech',
 		'@stdlib/stats/base/snanvariancech'
 	]
@@ -1432,7 +1432,7 @@ ns.push({
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/base/dvariancepn',
-		'@stdlib/stats/base/dnanvariance',
+		'@stdlib/stats/strided/dnanvariance',
 		'@stdlib/stats/base/nanvariancepn',
 		'@stdlib/stats/base/snanvariancepn'
 	]
@@ -1445,7 +1445,7 @@ ns.push({
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/base/dvariancetk',
-		'@stdlib/stats/base/dnanvariance',
+		'@stdlib/stats/strided/dnanvariance',
 		'@stdlib/stats/base/nanvariancetk',
 		'@stdlib/stats/base/snanvariancetk'
 	]
@@ -1458,7 +1458,7 @@ ns.push({
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/base/dvariancewd',
-		'@stdlib/stats/base/dnanvariance',
+		'@stdlib/stats/strided/dnanvariance',
 		'@stdlib/stats/base/nanvariancewd',
 		'@stdlib/stats/base/snanvariancewd'
 	]
@@ -1471,7 +1471,7 @@ ns.push({
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/base/dvarianceyc',
-		'@stdlib/stats/base/dnanvariance',
+		'@stdlib/stats/strided/dnanvariance',
 		'@stdlib/stats/base/nanvarianceyc',
 		'@stdlib/stats/base/snanvarianceyc'
 	]
@@ -2249,7 +2249,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/dvariance' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanvariance',
+		'@stdlib/stats/strided/dnanvariance',
 		'@stdlib/stats/base/dstdev',
 		'@stdlib/stats/base/dvarm',
 		'@stdlib/stats/base/svariance',

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

@@ -323,7 +323,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/nanvariance' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanvariance',
+		'@stdlib/stats/strided/dnanvariance',
 		'@stdlib/stats/base/nanstdev',
 		'@stdlib/stats/base/snanvariance',
 		'@stdlib/stats/base/variance'

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

@@ -1374,7 +1374,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/snanvariance' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanvariance',
+		'@stdlib/stats/strided/dnanvariance',
 		'@stdlib/stats/base/nanvariance',
 		'@stdlib/stats/base/smskvariance',
 		'@stdlib/stats/base/snanstdev',

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

@@ -84,7 +84,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dnanstdevtk( N, correction, x, strideX )`][@stdlib/stats/strided/dnanstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm.</span>
 -   <span class="signature">[`dnanstdevwd( N, correction, x, strideX )`][@stdlib/stats/strided/dnanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm.</span>
 -   <span class="signature">[`dnanstdevyc( N, correction, x, strideX )`][@stdlib/stats/strided/dnanstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
--   <span class="signature">[`dnanvariance( N, correction, x, strideX )`][@stdlib/stats/base/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring `NaN` values.</span>
+-   <span class="signature">[`dnanvariance( N, correction, x, strideX )`][@stdlib/stats/strided/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring `NaN` values.</span>
 -   <span class="signature">[`dnanvariancech( N, correction, x, strideX )`][@stdlib/stats/strided/dnanvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.</span>
 -   <span class="signature">[`dnanvariancepn( N, correction, x, strideX )`][@stdlib/stats/base/dnanvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a two-pass algorithm.</span>
 -   <span class="signature">[`dnanvariancetk( N, correction, x, strideX )`][@stdlib/stats/base/dnanvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm.</span>
@@ -353,7 +353,7 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/strided/dnanstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanstdevyc
 
-[@stdlib/stats/base/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariance
+[@stdlib/stats/strided/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariance
 
 [@stdlib/stats/strided/dnanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariancech
 

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

@@ -236,7 +236,7 @@ console.log( v );
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats/base/dnanvariance`][@stdlib/stats/base/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dnanvariance`][@stdlib/stats/strided/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/dstdev`][@stdlib/stats/base/dstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanstdev`][@stdlib/stats/base/nanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanstdev`][@stdlib/stats/base/snanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values.</span>
@@ -257,7 +257,7 @@ console.log( v );
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariance
+[@stdlib/stats/strided/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariance
 
 [@stdlib/stats/base/dstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdev
 

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

@@ -357,7 +357,7 @@ 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/dnanvariance`][@stdlib/stats/base/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dnanvariance`][@stdlib/stats/strided/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanvariancepn`][@stdlib/stats/base/nanvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using a two-pass algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanvariancepn`][@stdlib/stats/base/snanvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.</span>
 
@@ -383,7 +383,7 @@ 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/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariance
+[@stdlib/stats/strided/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariance
 
 [@stdlib/stats/base/nanvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariancepn
 

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

@@ -361,7 +361,7 @@ int main( void ) {
 ## See Also
 
 -   <span class="package-name">[`@stdlib/stats/base/dvariancetk`][@stdlib/stats/base/dvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.</span>
--   <span class="package-name">[`@stdlib/stats/base/dnanvariance`][@stdlib/stats/base/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dnanvariance`][@stdlib/stats/strided/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanvariancetk`][@stdlib/stats/base/nanvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanvariancetk`][@stdlib/stats/base/snanvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.</span>
 
@@ -385,7 +385,7 @@ int main( void ) {
 
 [@stdlib/stats/base/dvariancetk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancetk
 
-[@stdlib/stats/base/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariance
+[@stdlib/stats/strided/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariance
 
 [@stdlib/stats/base/nanvariancetk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariancetk
 

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

@@ -361,7 +361,7 @@ int main( void ) {
 ## See Also
 
 -   <span class="package-name">[`@stdlib/stats/base/dvariancewd`][@stdlib/stats/base/dvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using Welford's algorithm.</span>
--   <span class="package-name">[`@stdlib/stats/base/dnanvariance`][@stdlib/stats/base/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dnanvariance`][@stdlib/stats/strided/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanvariancewd`][@stdlib/stats/base/nanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanvariancewd`][@stdlib/stats/base/snanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.</span>
 
@@ -387,7 +387,7 @@ int main( void ) {
 
 [@stdlib/stats/base/dvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancewd
 
-[@stdlib/stats/base/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariance
+[@stdlib/stats/strided/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariance
 
 [@stdlib/stats/base/nanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariancewd
 

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

@@ -360,7 +360,7 @@ int main( void ) {
 ## See Also
 
 -   <span class="package-name">[`@stdlib/stats/base/dvarianceyc`][@stdlib/stats/base/dvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
--   <span class="package-name">[`@stdlib/stats/base/dnanvariance`][@stdlib/stats/base/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dnanvariance`][@stdlib/stats/strided/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanvarianceyc`][@stdlib/stats/base/nanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanvarianceyc`][@stdlib/stats/base/snanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
 
@@ -384,7 +384,7 @@ int main( void ) {
 
 [@stdlib/stats/base/dvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvarianceyc
 
-[@stdlib/stats/base/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariance
+[@stdlib/stats/strided/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariance
 
 [@stdlib/stats/base/nanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvarianceyc
 

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

@@ -342,7 +342,7 @@ int main( void ) {
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats/base/dnanvariance`][@stdlib/stats/base/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dnanvariance`][@stdlib/stats/strided/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/dstdev`][@stdlib/stats/base/dstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array.</span>
 -   <span class="package-name">[`@stdlib/stats/base/dvarm`][@stdlib/stats/base/dvarm]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array provided a known mean.</span>
 -   <span class="package-name">[`@stdlib/stats/base/svariance`][@stdlib/stats/base/svariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array.</span>
@@ -364,7 +364,7 @@ int main( void ) {
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariance
+[@stdlib/stats/strided/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariance
 
 [@stdlib/stats/base/dstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdev