refactor: update paths

Ref: stdlib-js#4797

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
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    status: passed
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---

Author: aayush0325

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

@@ -1262,7 +1262,7 @@ ns.push({
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/base/dnanstdev',
-		'@stdlib/stats/base/dnanvariancech',
+		'@stdlib/stats/strided/dnanvariancech',
 		'@stdlib/stats/base/dstdevch',
 		'@stdlib/stats/base/nanstdevch',
 		'@stdlib/stats/base/snanstdevch'
@@ -1414,8 +1414,8 @@ ns.push({
 
 ns.push({
 	'alias': 'base.strided.dnanvariancech',
-	'path': '@stdlib/stats/base/dnanvariancech',
-	'value': require( '@stdlib/stats/base/dnanvariancech' ),
+	'path': '@stdlib/stats/strided/dnanvariancech',
+	'value': require( '@stdlib/stats/strided/dnanvariancech' ),
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/base/dvariancech',
@@ -2263,7 +2263,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/dvariancech' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanvariancech',
+		'@stdlib/stats/strided/dnanvariancech',
 		'@stdlib/stats/base/dstdevch',
 		'@stdlib/stats/base/dvariance',
 		'@stdlib/stats/base/svariancech',

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

@@ -336,7 +336,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/nanvariancech' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanvariancech',
+		'@stdlib/stats/strided/dnanvariancech',
 		'@stdlib/stats/base/nanstdevch',
 		'@stdlib/stats/base/nanvariance',
 		'@stdlib/stats/base/snanvariancech',

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

@@ -1388,7 +1388,7 @@ ns.push({
 	'value': require( '@stdlib/stats/base/snanvariancech' ),
 	'type': 'Function',
 	'related': [
-		'@stdlib/stats/base/dnanvariancech',
+		'@stdlib/stats/strided/dnanvariancech',
 		'@stdlib/stats/base/nanvariancech',
 		'@stdlib/stats/base/snanstdevch',
 		'@stdlib/stats/base/snanvariance',

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

@@ -85,7 +85,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`dnanstdevwd( N, correction, x, strideX )`][@stdlib/stats/base/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/base/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">[`dnanvariancech( N, correction, x, strideX )`][@stdlib/stats/base/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">[`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>
 -   <span class="signature">[`dnanvariancewd( N, correction, x, strideX )`][@stdlib/stats/base/dnanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm.</span>
@@ -355,7 +355,7 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariance
 
-[@stdlib/stats/base/dnanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariancech
+[@stdlib/stats/strided/dnanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariancech
 
 [@stdlib/stats/base/dnanvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariancepn
 

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

@@ -352,7 +352,7 @@ int main( void ) {
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats/base/dnanvariancech`][@stdlib/stats/base/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="package-name">[`@stdlib/stats/strided/dnanvariancech`][@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="package-name">[`@stdlib/stats/base/dstdevch`][@stdlib/stats/base/dstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/dvariance`][@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="package-name">[`@stdlib/stats/base/svariancech`][@stdlib/stats/base/svariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
@@ -382,7 +382,7 @@ int main( void ) {
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariancech
+[@stdlib/stats/strided/dnanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariancech
 
 [@stdlib/stats/base/dstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdevch
 

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

@@ -183,7 +183,7 @@ var v = nanvariancech.ndarray( N, 1, x, 2, 1 );
 -   If `N <= 0`, both functions return `NaN`.
 -   If `n - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment and `n` corresponds to the number of non-`NaN` indexed elements), both functions return `NaN`.
 -   The underlying algorithm is a specialized case of Neely's two-pass algorithm. As the variance is invariant with respect to changes in the location parameter, the underlying algorithm uses the first non-`NaN` strided array element as a trial mean to shift subsequent data values and thus mitigate catastrophic cancellation. Accordingly, the algorithm's accuracy is best when data is **unordered** (i.e., the data is **not** sorted in either ascending or descending order such that the first value is an "extreme" value).
--   Depending on the environment, the typed versions ([`dnanvariancech`][@stdlib/stats/base/dnanvariancech], [`snanvariancech`][@stdlib/stats/base/snanvariancech], etc.) are likely to be significantly more performant.
+-   Depending on the environment, the typed versions ([`dnanvariancech`][@stdlib/stats/strided/dnanvariancech], [`snanvariancech`][@stdlib/stats/base/snanvariancech], etc.) are likely to be significantly more performant.
 
 </section>
 
@@ -241,7 +241,7 @@ console.log( v );
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats/base/dnanvariancech`][@stdlib/stats/base/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="package-name">[`@stdlib/stats/strided/dnanvariancech`][@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="package-name">[`@stdlib/stats/base/nanstdevch`][@stdlib/stats/base/nanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanvariance`][@stdlib/stats/base/nanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanvariancech`][@stdlib/stats/base/snanvariancech]</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 trial mean algorithm.</span>
@@ -271,7 +271,7 @@ console.log( v );
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariancech
+[@stdlib/stats/strided/dnanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariancech
 
 [@stdlib/stats/base/nanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanstdevch
 

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

@@ -246,7 +246,7 @@ console.log( v );
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats/base/dnanvariancech`][@stdlib/stats/base/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="package-name">[`@stdlib/stats/strided/dnanvariancech`][@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="package-name">[`@stdlib/stats/base/nanvariancech`][@stdlib/stats/base/nanvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanstdevch`][@stdlib/stats/base/snanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanvariance`][@stdlib/stats/base/snanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values.</span>
@@ -276,7 +276,7 @@ console.log( v );
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariancech
+[@stdlib/stats/strided/dnanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariancech
 
 [@stdlib/stats/base/nanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariancech
 

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

@@ -364,7 +364,7 @@ int main( void ) {
 ## See Also
 
 -   <span class="package-name">[`@stdlib/stats/base/dnanstdev`][@stdlib/stats/base/dnanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.</span>
--   <span class="package-name">[`@stdlib/stats/base/dnanvariancech`][@stdlib/stats/base/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="package-name">[`@stdlib/stats/strided/dnanvariancech`][@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="package-name">[`@stdlib/stats/base/dstdevch`][@stdlib/stats/base/dstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanstdevch`][@stdlib/stats/base/nanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/snanstdevch`][@stdlib/stats/base/snanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.</span>
@@ -395,7 +395,7 @@ int main( void ) {
 
 [@stdlib/stats/base/dnanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanstdev
 
-[@stdlib/stats/base/dnanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvariancech
+[@stdlib/stats/strided/dnanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariancech
 
 [@stdlib/stats/base/dstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdevch
 

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

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

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

@@ -45,7 +45,7 @@
         "@stdlib/napi/argv-int64",
         "@stdlib/napi/argv-double",
         "@stdlib/napi/argv-strided-float64array",
-        "@stdlib/stats/base/dnanvariancech",
+        "@stdlib/stats/strided/dnanvariancech",
         "@stdlib/math/base/special/sqrt",
         "@stdlib/napi/create-double"
       ]
@@ -65,7 +65,7 @@
         "@stdlib/blas/base/shared",
         "@stdlib/strided/base/stride2offset",
         "@stdlib/math/base/special/sqrt",
-        "@stdlib/stats/base/dnanvariancech"
+        "@stdlib/stats/strided/dnanvariancech"
       ]
     },
     {
@@ -83,7 +83,7 @@
         "@stdlib/blas/base/shared",
         "@stdlib/strided/base/stride2offset",
         "@stdlib/math/base/special/sqrt",
-        "@stdlib/stats/base/dnanvariancech"
+        "@stdlib/stats/strided/dnanvariancech"
       ]
     },
     {
@@ -101,7 +101,7 @@
         "@stdlib/blas/base/shared",
         "@stdlib/strided/base/stride2offset",
         "@stdlib/math/base/special/sqrt",
-        "@stdlib/stats/base/dnanvariancech"
+        "@stdlib/stats/strided/dnanvariancech"
       ]
     }
   ]