refactor: update paths

Ref: #4797

---
type: pre_commit_static_analysis_report
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---

Author: aayush0325

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

@@ -567,7 +567,7 @@ ns.push({
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/base/dmean',
-		'@stdlib/stats/base/dnanmeanpn',
+		'@stdlib/stats/strided/dnanmeanpn',
 		'@stdlib/stats/base/meanpn',
 		'@stdlib/stats/base/smeanpn'
 	]
@@ -1044,8 +1044,8 @@ ns.push({
 
 ns.push({
 	'alias': 'base.strided.dnanmeanpn',
-	'path': '@stdlib/stats/base/dnanmeanpn',
-	'value': require( '@stdlib/stats/base/dnanmeanpn' ),
+	'path': '@stdlib/stats/strided/dnanmeanpn',
+	'value': require( '@stdlib/stats/strided/dnanmeanpn' ),
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/base/dmeanpn',
@@ -1779,7 +1779,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/dsnanmeanpn' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanmeanpn',
+		'@stdlib/stats/strided/dnanmeanpn',
 		'@stdlib/stats/base/dsmeanpn',
 		'@stdlib/stats/base/dsnanmean',
 		'@stdlib/stats/base/nanmeanpn',

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

@@ -100,7 +100,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/nanmeanpn' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanmeanpn',
+		'@stdlib/stats/strided/dnanmeanpn',
 		'@stdlib/stats/base/meanpn',
 		'@stdlib/stats/base/nanmean',
 		'@stdlib/stats/base/snanmeanpn'

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

@@ -1105,7 +1105,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/snanmeanpn' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanmeanpn',
+		'@stdlib/stats/strided/dnanmeanpn',
 		'@stdlib/stats/base/nanmeanpn',
 		'@stdlib/stats/base/smeanpn',
 		'@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">[`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">[`dnanmeanpn( N, x, strideX )`][@stdlib/stats/strided/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>
 -   <span class="signature">[`dnanmin( N, x, strideX )`][@stdlib/stats/strided/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values.</span>
@@ -329,7 +329,7 @@ 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/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpn
+[@stdlib/stats/strided/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanpn
 
 [@stdlib/stats/base/dnanmeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpw
 

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

@@ -197,7 +197,7 @@ console.log( v );
 ## 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/dnanmeanpn`][@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="package-name">[`@stdlib/stats/strided/dnanmeanpn`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/base/meanpn`][@stdlib/stats/base/meanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/smeanpn`][@stdlib/stats/base/smeanpn]</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.</span>
 
@@ -223,7 +223,7 @@ console.log( v );
 
 [@stdlib/stats/base/dmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmean
 
-[@stdlib/stats/base/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpn
+[@stdlib/stats/strided/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanpn
 
 [@stdlib/stats/base/meanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanpn
 

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

@@ -314,7 +314,7 @@ int main( void ) {
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats/base/dnanmeanpn`][@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="package-name">[`@stdlib/stats/strided/dnanmeanpn`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/base/dsmeanpn`][@stdlib/stats/base/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="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/nanmeanpn`][@stdlib/stats/base/nanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
@@ -341,7 +341,7 @@ int main( void ) {
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpn
+[@stdlib/stats/strided/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanpn
 
 [@stdlib/stats/base/dsmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsmeanpn
 

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

@@ -136,7 +136,7 @@ var v = nanmeanpn.ndarray( N, x, 2, 1 );
 
 -   If `N <= 0`, both functions return `NaN`.
 -   If every indexed element is `NaN`, both functions return `NaN`.
--   Depending on the environment, the typed versions ([`dnanmeanpn`][@stdlib/stats/base/dnanmeanpn], [`snanmeanpn`][@stdlib/stats/base/snanmeanpn], etc.) are likely to be significantly more performant.
+-   Depending on the environment, the typed versions ([`dnanmeanpn`][@stdlib/stats/strided/dnanmeanpn], [`snanmeanpn`][@stdlib/stats/base/snanmeanpn], etc.) are likely to be significantly more performant.
 
 </section>
 
@@ -196,7 +196,7 @@ console.log( v );
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats/base/dnanmeanpn`][@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="package-name">[`@stdlib/stats/strided/dnanmeanpn`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/base/meanpn`][@stdlib/stats/base/meanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.</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/snanmeanpn`][@stdlib/stats/base/snanmeanpn]</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 a two-pass error correction algorithm.</span>
@@ -221,7 +221,7 @@ console.log( v );
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpn
+[@stdlib/stats/strided/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanpn
 
 [@stdlib/stats/base/meanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanpn
 

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

@@ -310,7 +310,7 @@ int main( void ) {
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats/base/dnanmeanpn`][@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="package-name">[`@stdlib/stats/strided/dnanmeanpn`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/base/nanmeanpn`][@stdlib/stats/base/nanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/smeanpn`][@stdlib/stats/base/smeanpn]</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.</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>
@@ -335,7 +335,7 @@ int main( void ) {
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpn
+[@stdlib/stats/strided/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanpn
 
 [@stdlib/stats/base/nanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanpn
 

lib/node_modules/@stdlib/stats/strided/dnanmean/lib/ndarray.js

@@ -20,7 +20,7 @@
 
 // MODULES //
 
-var dnanmeanpn = require( '@stdlib/stats/base/dnanmeanpn' ).ndarray;
+var dnanmeanpn = require( '@stdlib/stats/strided/dnanmeanpn' ).ndarray;
 
 
 // MAIN //

lib/node_modules/@stdlib/stats/strided/dnanmean/manifest.json

@@ -40,7 +40,7 @@
       "dependencies": [
         "@stdlib/blas/base/shared",
         "@stdlib/strided/base/stride2offset",
-        "@stdlib/stats/base/dnanmeanpn",
+        "@stdlib/stats/strided/dnanmeanpn",
         "@stdlib/napi/export",
         "@stdlib/napi/argv",
         "@stdlib/napi/argv-int64",
@@ -62,7 +62,7 @@
       "dependencies": [
         "@stdlib/blas/base/shared",
         "@stdlib/strided/base/stride2offset",
-        "@stdlib/stats/base/dnanmeanpn"
+        "@stdlib/stats/strided/dnanmeanpn"
       ]
     },
     {
@@ -79,7 +79,7 @@
       "dependencies": [
         "@stdlib/blas/base/shared",
         "@stdlib/strided/base/stride2offset",
-        "@stdlib/stats/base/dnanmeanpn"
+        "@stdlib/stats/strided/dnanmeanpn"
       ]
     },
     {
@@ -96,7 +96,7 @@
       "dependencies": [
         "@stdlib/blas/base/shared",
         "@stdlib/strided/base/stride2offset",
-        "@stdlib/stats/base/dnanmeanpn"
+        "@stdlib/stats/strided/dnanmeanpn"
       ]
     }
   ]

lib/node_modules/@stdlib/stats/strided/dnanmean/src/main.c

@@ -17,7 +17,7 @@
 */
 
 #include "stdlib/stats/strided/dnanmean.h"
-#include "stdlib/stats/base/dnanmeanpn.h"
+#include "stdlib/stats/strided/dnanmeanpn.h"
 #include "stdlib/blas/base/shared.h"
 #include "stdlib/strided/base/stride2offset.h"