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refactor: update paths
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js‎

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@@ -2062,7 +2062,7 @@ ns.push({
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'@stdlib/stats/strided/dnanstdevyc',
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'@stdlib/stats/base/dstdev',
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'@stdlib/stats/strided/dvarianceyc',
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'@stdlib/stats/base/sstdevyc',
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'@stdlib/stats/strided/sstdevyc',
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'@stdlib/stats/base/stdevyc'
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]
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});

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

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@@ -1289,7 +1289,7 @@ ns.push({
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'@stdlib/stats/base/nanstdevyc',
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'@stdlib/stats/base/snanstdev',
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'@stdlib/stats/base/snanvarianceyc',
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'@stdlib/stats/base/sstdevyc'
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'@stdlib/stats/strided/sstdevyc'
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]
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});
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@@ -1686,8 +1686,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.sstdevyc',
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'path': '@stdlib/stats/base/sstdevyc',
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'value': require( '@stdlib/stats/base/sstdevyc' ),
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'path': '@stdlib/stats/strided/sstdevyc',
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'value': require( '@stdlib/stats/strided/sstdevyc' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dstdevyc',
@@ -1866,7 +1866,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dstdevyc',
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'@stdlib/stats/base/nanstdevyc',
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'@stdlib/stats/base/sstdevyc',
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'@stdlib/stats/strided/sstdevyc',
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'@stdlib/stats/base/stdev',
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'@stdlib/stats/base/varianceyc'
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]
@@ -1969,7 +1969,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dvarianceyc',
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'@stdlib/stats/base/snanvarianceyc',
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'@stdlib/stats/base/sstdevyc',
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'@stdlib/stats/strided/sstdevyc',
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'@stdlib/stats/base/svariance',
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'@stdlib/stats/base/varianceyc'
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]

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

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@@ -230,7 +230,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`sstdevpn( N, correction, x, strideX )`][@stdlib/stats/strided/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>
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- <span class="signature">[`sstdevtk( N, correction, x, strideX )`][@stdlib/stats/strided/sstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.</span>
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- <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>
233-
- <span class="signature">[`sstdevyc( N, correction, x, strideX )`][@stdlib/stats/base/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
233+
- <span class="signature">[`sstdevyc( N, correction, x, strideX )`][@stdlib/stats/strided/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="signature">[`stdev( N, correction, x, stride )`][@stdlib/stats/base/stdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array.</span>
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- <span class="signature">[`stdevch( N, correction, x, stride )`][@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>
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- <span class="signature">[`stdevpn( N, correction, x, stride )`][@stdlib/stats/base/stdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a two-pass algorithm.</span>
@@ -645,7 +645,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevwd
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648-
[@stdlib/stats/base/sstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevyc
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[@stdlib/stats/strided/sstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevyc
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[@stdlib/stats/base/stdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdev
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‎lib/node_modules/@stdlib/stats/base/snanstdevyc/README.md‎

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@@ -246,7 +246,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/nanstdevyc`][@stdlib/stats/base/nanstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <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>
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- <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>
249-
- <span class="package-name">[`@stdlib/stats/base/sstdevyc`][@stdlib/stats/base/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sstdevyc`][@stdlib/stats/strided/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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</section>
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@@ -274,7 +274,7 @@ console.log( v );
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[@stdlib/stats/base/snanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvarianceyc
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277-
[@stdlib/stats/base/sstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevyc
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[@stdlib/stats/strided/sstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevyc
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/stdevyc/README.md‎

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -182,7 +182,7 @@ var v = stdevyc.ndarray( N, 1, x, 2, 1 );
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- If `N <= 0`, both functions return `NaN`.
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- If `N - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment), both functions return `NaN`.
185-
- Depending on the environment, the typed versions ([`dstdevyc`][@stdlib/stats/strided/dstdevyc], [`sstdevyc`][@stdlib/stats/base/sstdevyc], etc.) are likely to be significantly more performant.
185+
- Depending on the environment, the typed versions ([`dstdevyc`][@stdlib/stats/strided/dstdevyc], [`sstdevyc`][@stdlib/stats/strided/sstdevyc], etc.) are likely to be significantly more performant.
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187187
</section>
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@@ -239,7 +239,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/strided/dstdevyc`][@stdlib/stats/strided/dstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanstdevyc`][@stdlib/stats/base/nanstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/base/sstdevyc`][@stdlib/stats/base/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sstdevyc`][@stdlib/stats/strided/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/base/stdev`][@stdlib/stats/base/stdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/varianceyc`][@stdlib/stats/base/varianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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@@ -265,7 +265,7 @@ console.log( v );
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[@stdlib/stats/base/nanstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanstdevyc
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[@stdlib/stats/base/sstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevyc
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[@stdlib/stats/strided/sstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevyc
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[@stdlib/stats/base/stdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdev
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‎lib/node_modules/@stdlib/stats/base/svarianceyc/README.md‎

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@@ -350,7 +350,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dvarianceyc`][@stdlib/stats/strided/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>
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- <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>
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- <span class="package-name">[`@stdlib/stats/base/sstdevyc`][@stdlib/stats/base/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sstdevyc`][@stdlib/stats/strided/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <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>
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- <span class="package-name">[`@stdlib/stats/base/varianceyc`][@stdlib/stats/base/varianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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@@ -376,7 +376,7 @@ int main( void ) {
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[@stdlib/stats/base/snanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvarianceyc
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[@stdlib/stats/base/sstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevyc
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[@stdlib/stats/strided/sstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevyc
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[@stdlib/stats/base/svariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariance
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‎lib/node_modules/@stdlib/stats/strided/dstdevyc/README.md‎

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@@ -351,7 +351,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dnanstdevyc`][@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>
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- <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>
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- <span class="package-name">[`@stdlib/stats/strided/dvarianceyc`][@stdlib/stats/strided/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>
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- <span class="package-name">[`@stdlib/stats/base/sstdevyc`][@stdlib/stats/base/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sstdevyc`][@stdlib/stats/strided/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/base/stdevyc`][@stdlib/stats/base/stdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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</section>
@@ -378,7 +378,7 @@ int main( void ) {
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[@stdlib/stats/strided/dvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvarianceyc
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[@stdlib/stats/base/sstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevyc
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[@stdlib/stats/strided/sstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevyc
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[@stdlib/stats/base/stdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevyc
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