refactor: update paths

Ref: #4797

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Author: aayush0325

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

@@ -641,7 +641,7 @@ ns.push({
 		'@stdlib/stats/base/dmeanstdevpn',
 		'@stdlib/stats/base/dmeanvar',
 		'@stdlib/stats/base/dnanmeanvarpn',
-		'@stdlib/stats/base/dvariancepn',
+		'@stdlib/stats/strided/dvariancepn',
 		'@stdlib/stats/base/meanvarpn',
 		'@stdlib/stats/base/smeanvarpn'
 	]
@@ -1431,7 +1431,7 @@ ns.push({
 	'value': require( '@stdlib/stats/strided/dnanvariancepn' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dvariancepn',
+		'@stdlib/stats/strided/dvariancepn',
 		'@stdlib/stats/strided/dnanvariance',
 		'@stdlib/stats/base/nanvariancepn',
 		'@stdlib/stats/base/snanvariancepn'
@@ -2019,7 +2019,7 @@ ns.push({
 		'@stdlib/stats/strided/dnanstdevpn',
 		'@stdlib/stats/base/dstdev',
 		'@stdlib/stats/base/dstdevmpn',
-		'@stdlib/stats/base/dvariancepn',
+		'@stdlib/stats/strided/dvariancepn',
 		'@stdlib/stats/base/sstdevpn',
 		'@stdlib/stats/base/stdevpn'
 	]
@@ -2163,7 +2163,7 @@ ns.push({
 	'value': require( '@stdlib/stats/strided/dsvariancepn' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dvariancepn',
+		'@stdlib/stats/strided/dvariancepn',
 		'@stdlib/stats/base/dsnanvariancepn',
 		'@stdlib/stats/strided/dsvariance',
 		'@stdlib/stats/base/variancepn',
@@ -2273,8 +2273,8 @@ ns.push({
 
 ns.push({
 	'alias': 'base.strided.dvariancepn',
-	'path': '@stdlib/stats/base/dvariancepn',
-	'value': require( '@stdlib/stats/base/dvariancepn' ),
+	'path': '@stdlib/stats/strided/dvariancepn',
+	'value': require( '@stdlib/stats/strided/dvariancepn' ),
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/strided/dnanvariancepn',

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

@@ -1924,7 +1924,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/svariancepn' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dvariancepn',
+		'@stdlib/stats/strided/dvariancepn',
 		'@stdlib/stats/base/snanvariancepn',
 		'@stdlib/stats/base/sstdevpn',
 		'@stdlib/stats/base/svariance',

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

@@ -59,7 +59,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/variancepn' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dvariancepn',
+		'@stdlib/stats/strided/dvariancepn',
 		'@stdlib/stats/base/nanvariancepn',
 		'@stdlib/stats/base/stdevpn',
 		'@stdlib/stats/base/variance',

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

@@ -116,7 +116,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dsvariancepn( N, correction, x, strideX )`][@stdlib/stats/strided/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/strided/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/strided/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>
--   <span class="signature">[`dvariancepn( N, correction, x, strideX )`][@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="signature">[`dvariancepn( N, correction, x, strideX )`][@stdlib/stats/strided/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="signature">[`dvariancetk( N, correction, x, strideX )`][@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="signature">[`dvariancewd( N, correction, x, strideX )`][@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="signature">[`dvarianceyc( N, correction, x, strideX )`][@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>
@@ -417,7 +417,7 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/strided/dvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancech
 
-[@stdlib/stats/base/dvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancepn
+[@stdlib/stats/strided/dvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancepn
 
 [@stdlib/stats/base/dvariancetk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancetk
 

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

@@ -263,7 +263,7 @@ console.log( out );
 -   <span class="package-name">[`@stdlib/stats/base/dmeanpn`][@stdlib/stats/base/dmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/dmeanstdevpn`][@stdlib/stats/base/dmeanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/dmeanvar`][@stdlib/stats/base/dmeanvar]</span><span class="delimiter">: </span><span class="description">calculate the mean and variance of a double-precision floating-point strided array.</span>
--   <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/strided/dvariancepn`][@stdlib/stats/strided/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>
 
 </section>
 
@@ -293,7 +293,7 @@ console.log( out );
 
 [@stdlib/stats/base/dmeanvar]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmeanvar
 
-[@stdlib/stats/base/dvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancepn
+[@stdlib/stats/strided/dvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancepn
 
 <!-- </related-links> -->
 

lib/node_modules/@stdlib/stats/base/dsempn/lib/dsempn.js

@@ -20,7 +20,7 @@
 
 // MODULES //
 
-var dvariancepn = require( '@stdlib/stats/base/dvariancepn' );
+var dvariancepn = require( '@stdlib/stats/strided/dvariancepn' );
 var sqrt = require( '@stdlib/math/base/special/sqrt' );
 
 

lib/node_modules/@stdlib/stats/base/dsempn/lib/ndarray.js

@@ -20,7 +20,7 @@
 
 // MODULES //
 
-var dvariancepn = require( '@stdlib/stats/base/dvariancepn' ).ndarray;
+var dvariancepn = require( '@stdlib/stats/strided/dvariancepn' ).ndarray;
 var sqrt = require( '@stdlib/math/base/special/sqrt' );
 
 

lib/node_modules/@stdlib/stats/base/dsempn/manifest.json

@@ -38,7 +38,7 @@
       ],
       "libpath": [],
       "dependencies": [
-        "@stdlib/stats/base/dvariancepn",
+        "@stdlib/stats/strided/dvariancepn",
         "@stdlib/napi/export",
         "@stdlib/napi/argv",
         "@stdlib/napi/argv-int64",
@@ -60,7 +60,7 @@
       ],
       "libpath": [],
       "dependencies": [
-        "@stdlib/stats/base/dvariancepn"
+        "@stdlib/stats/strided/dvariancepn"
       ]
     },
     {
@@ -76,7 +76,7 @@
       ],
       "libpath": [],
       "dependencies": [
-        "@stdlib/stats/base/dvariancepn"
+        "@stdlib/stats/strided/dvariancepn"
       ]
     }
   ]

lib/node_modules/@stdlib/stats/base/dsempn/src/dsempn.c

@@ -17,7 +17,7 @@
 */
 
 #include "stdlib/stats/base/dsempn.h"
-#include "stdlib/stats/base/dvariancepn.h"
+#include "stdlib/stats/strided/dvariancepn.h"
 #include <stdint.h>
 #include <math.h>
 

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

@@ -349,7 +349,7 @@ 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/strided/dvariancepn`][@stdlib/stats/strided/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/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>
 -   <span class="package-name">[`@stdlib/stats/base/sstdevpn`][@stdlib/stats/base/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.</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>
@@ -375,7 +375,7 @@ int main( void ) {
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancepn
+[@stdlib/stats/strided/dvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancepn
 
 [@stdlib/stats/base/snanvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariancepn