refactor: update paths

Ref: #4797

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Author: gururaj1512

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

@@ -2006,7 +2006,7 @@ ns.push({
 		'@stdlib/stats/strided/dstdev',
 		'@stdlib/stats/strided/dvariancech',
 		'@stdlib/stats/strided/sstdevch',
-		'@stdlib/stats/base/stdevch'
+		'@stdlib/stats/strided/stdevch'
 	]
 });
 

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

@@ -257,7 +257,7 @@ ns.push({
 		'@stdlib/stats/base/nanvariancech',
 		'@stdlib/stats/base/nanstdev',
 		'@stdlib/stats/base/snanstdevch',
-		'@stdlib/stats/base/stdevch'
+		'@stdlib/stats/strided/stdevch'
 	]
 });
 

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

@@ -1636,7 +1636,7 @@ ns.push({
 		'@stdlib/stats/strided/dstdevch',
 		'@stdlib/stats/base/snanstdevch',
 		'@stdlib/stats/strided/sstdev',
-		'@stdlib/stats/base/stdevch',
+		'@stdlib/stats/strided/stdevch',
 		'@stdlib/stats/strided/svariancech'
 	]
 });
@@ -1803,8 +1803,8 @@ ns.push({
 
 ns.push({
 	'alias': 'base.strided.stdevch',
-	'path': '@stdlib/stats/base/stdevch',
-	'value': require( '@stdlib/stats/base/stdevch' ),
+	'path': '@stdlib/stats/strided/stdevch',
+	'value': require( '@stdlib/stats/strided/stdevch' ),
 	'type': 'Function',
 	'related': [
 		'@stdlib/stats/strided/dstdevch',

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

@@ -48,7 +48,7 @@ ns.push({
 	'related': [
 		'@stdlib/stats/strided/dvariancech',
 		'@stdlib/stats/base/nanvariancech',
-		'@stdlib/stats/base/stdevch',
+		'@stdlib/stats/strided/stdevch',
 		'@stdlib/stats/strided/variance'
 	]
 });

lib/node_modules/@stdlib/stats/array/stdevch/README.md

@@ -33,7 +33,7 @@ The population [standard deviation][standard-deviation] of a finite size populat
 ```
 
 <!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/base/stdevch/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/strided/stdevch/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
     <br>
 </div> -->
 
@@ -48,7 +48,7 @@ where the population mean is given by
 ```
 
 <!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/base/stdevch/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/strided/stdevch/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
     <br>
 </div> -->
 
@@ -63,7 +63,7 @@ s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}
 ```
 
 <!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/base/stdevch/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/strided/stdevch/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
     <br>
 </div> -->
 
@@ -78,7 +78,7 @@ where the sample mean is given by
 ```
 
 <!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/base/stdevch/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
+    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@10c5eae557369a7da1da27a5f12a45b56e592834/lib/node_modules/@stdlib/stats/strided/stdevch/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
     <br>
 </div> -->
 

lib/node_modules/@stdlib/stats/array/stdevch/lib/main.js

@@ -26,7 +26,7 @@ var dtypes = require( '@stdlib/array/dtypes' );
 var dtype = require( '@stdlib/array/dtype' );
 var contains = require( '@stdlib/array/base/assert/contains' );
 var join = require( '@stdlib/array/base/join' );
-var strided = require( '@stdlib/stats/base/stdevch' ).ndarray;
+var strided = require( '@stdlib/stats/strided/stdevch' ).ndarray;
 var format = require( '@stdlib/string/format' );
 
 

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

@@ -102,7 +102,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`snanvarianceyc( N, correction, x, stride )`][@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>
 -   <span class="signature">[`sstdevwd( N, correction, x, stride )`][@stdlib/stats/base/sstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.</span>
 -   <span class="signature">[`stdev( N, correction, x, strideX )`][@stdlib/stats/base/stdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array.</span>
--   <span class="signature">[`stdevch( N, correction, x, strideX )`][@stdlib/stats/base/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
+-   <span class="signature">[`stdevch( N, correction, x, strideX )`][@stdlib/stats/strided/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
 -   <span class="signature">[`stdevpn( N, correction, x, strideX )`][@stdlib/stats/strided/stdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a two-pass algorithm.</span>
 -   <span class="signature">[`stdevtk( N, correction, x, stride )`][@stdlib/stats/strided/stdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass textbook algorithm.</span>
 -   <span class="signature">[`stdevwd( N, correction, x, stride )`][@stdlib/stats/strided/stdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using Welford's algorithm.</span>
@@ -253,7 +253,7 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/stdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdev
 
-[@stdlib/stats/base/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevch
+[@stdlib/stats/strided/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevch
 
 [@stdlib/stats/strided/stdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevpn
 

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

@@ -238,7 +238,7 @@ console.log( v );
 -   <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/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/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/stdevch`][@stdlib/stats/base/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/stdevch`][@stdlib/stats/strided/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
 
 </section>
 
@@ -274,7 +274,7 @@ console.log( v );
 
 [@stdlib/stats/base/snanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdevch
 
-[@stdlib/stats/base/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevch
+[@stdlib/stats/strided/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevch
 
 <!-- </related-links> -->
 

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

@@ -356,7 +356,7 @@ int main( void ) {
 -   <span class="package-name">[`@stdlib/stats/strided/dstdev`][@stdlib/stats/strided/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/strided/dvariancech`][@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="package-name">[`@stdlib/stats/strided/sstdevch`][@stdlib/stats/strided/sstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
--   <span class="package-name">[`@stdlib/stats/base/stdevch`][@stdlib/stats/base/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/stdevch`][@stdlib/stats/strided/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
 
 </section>
 
@@ -390,7 +390,7 @@ int main( void ) {
 
 [@stdlib/stats/strided/sstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevch
 
-[@stdlib/stats/base/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevch
+[@stdlib/stats/strided/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevch
 
 <!-- </related-links> -->
 

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

@@ -355,7 +355,7 @@ int main( void ) {
 -   <span class="package-name">[`@stdlib/stats/strided/dstdevch`][@stdlib/stats/strided/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/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/strided/sstdev`][@stdlib/stats/strided/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
--   <span class="package-name">[`@stdlib/stats/base/stdevch`][@stdlib/stats/base/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/stdevch`][@stdlib/stats/strided/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/strided/svariancech`][@stdlib/stats/strided/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>
 
 </section>
@@ -388,7 +388,7 @@ int main( void ) {
 
 [@stdlib/stats/strided/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdev
 
-[@stdlib/stats/base/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevch
+[@stdlib/stats/strided/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevch
 
 [@stdlib/stats/strided/svariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancech