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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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@@ -1319,7 +1319,7 @@ ns.push({
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'related': [
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'@stdlib/stats/base/dnanstdev',
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'@stdlib/stats/strided/dnanvarianceyc',
1322-
'@stdlib/stats/base/dstdevyc',
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'@stdlib/stats/strided/dstdevyc',
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'@stdlib/stats/base/nanstdevyc',
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'@stdlib/stats/base/snanstdevyc'
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]
@@ -1668,7 +1668,7 @@ ns.push({
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'related': [
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'@stdlib/stats/base/dnansemyc',
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'@stdlib/stats/base/dsem',
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'@stdlib/stats/base/dstdevyc',
1671+
'@stdlib/stats/strided/dstdevyc',
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'@stdlib/stats/base/semyc',
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'@stdlib/stats/base/ssemyc'
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]
@@ -2055,8 +2055,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.dstdevyc',
2058-
'path': '@stdlib/stats/base/dstdevyc',
2059-
'value': require( '@stdlib/stats/base/dstdevyc' ),
2058+
'path': '@stdlib/stats/strided/dstdevyc',
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'value': require( '@stdlib/stats/strided/dstdevyc' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanstdevyc',
@@ -2320,7 +2320,7 @@ ns.push({
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanvarianceyc',
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'@stdlib/stats/base/dstdevyc',
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'@stdlib/stats/strided/dstdevyc',
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'@stdlib/stats/base/dvariance',
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'@stdlib/stats/base/svarianceyc',
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'@stdlib/stats/base/varianceyc'

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

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@@ -1690,7 +1690,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/sstdevyc' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dstdevyc',
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'@stdlib/stats/strided/dstdevyc',
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'@stdlib/stats/base/snanstdevyc',
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'@stdlib/stats/base/sstdev',
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'@stdlib/stats/base/stdevyc',
@@ -1864,7 +1864,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/stdevyc' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dstdevyc',
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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/base/stdev',

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

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@@ -111,7 +111,7 @@ The namespace contains the following statistical functions:
111111
- <span class="signature">[`dstdevpn( N, correction, x, strideX )`][@stdlib/stats/strided/dstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.</span>
112112
- <span class="signature">[`dstdevtk( N, correction, x, strideX )`][@stdlib/stats/strided/dstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.</span>
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- <span class="signature">[`dstdevwd( N, correction, x, strideX )`][@stdlib/stats/strided/dstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.</span>
114-
- <span class="signature">[`dstdevyc( N, correction, x, strideX )`][@stdlib/stats/base/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>
114+
- <span class="signature">[`dstdevyc( N, correction, x, strideX )`][@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="signature">[`dsvariance( N, correction, x, strideX )`][@stdlib/stats/base/dsvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.</span>
116116
- <span class="signature">[`dsvariancepn( N, correction, x, strideX )`][@stdlib/stats/base/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>
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- <span class="signature">[`dvariance( N, correction, x, strideX )`][@stdlib/stats/base/dvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array.</span>
@@ -407,7 +407,7 @@ console.log( objectKeys( ns ) );
407407

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[@stdlib/stats/strided/dstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dstdevwd
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410-
[@stdlib/stats/base/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdevyc
410+
[@stdlib/stats/strided/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dstdevyc
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412412
[@stdlib/stats/base/dsvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsvariance
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‎lib/node_modules/@stdlib/stats/base/dvarianceyc/README.md‎

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@@ -349,7 +349,7 @@ int main( void ) {
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## See Also
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- <span class="package-name">[`@stdlib/stats/strided/dnanvarianceyc`][@stdlib/stats/strided/dnanvarianceyc]</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 algorithm proposed by Youngs and Cramer.</span>
352-
- <span class="package-name">[`@stdlib/stats/base/dstdevyc`][@stdlib/stats/base/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>
352+
- <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/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>
354354
- <span class="package-name">[`@stdlib/stats/base/svarianceyc`][@stdlib/stats/base/svarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance 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/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>
@@ -374,7 +374,7 @@ int main( void ) {
374374
375375
[@stdlib/stats/strided/dnanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvarianceyc
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[@stdlib/stats/base/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdevyc
377+
[@stdlib/stats/strided/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dstdevyc
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[@stdlib/stats/base/dvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariance
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‎lib/node_modules/@stdlib/stats/base/sstdevyc/README.md‎

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@@ -348,7 +348,7 @@ int main( void ) {
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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dstdevyc`][@stdlib/stats/base/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>
351+
- <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/snanstdevyc`][@stdlib/stats/base/snanstdevyc]</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 algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/base/sstdev`][@stdlib/stats/base/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</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>
@@ -372,7 +372,7 @@ int main( void ) {
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<!-- <related-links> -->
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[@stdlib/stats/base/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdevyc
375+
[@stdlib/stats/strided/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dstdevyc
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[@stdlib/stats/base/snanstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdevyc
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‎lib/node_modules/@stdlib/stats/base/stdevyc/README.md‎

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@@ -182,7 +182,7 @@ var v = stdevyc.ndarray( N, 1, x, 2, 1 );
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183183
- 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/base/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/base/sstdevyc], etc.) are likely to be significantly more performant.
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187187
</section>
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@@ -237,7 +237,7 @@ console.log( v );
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## See Also
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240-
- <span class="package-name">[`@stdlib/stats/base/dstdevyc`][@stdlib/stats/base/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/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/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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<!-- <related-links> -->
263263

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[@stdlib/stats/base/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdevyc
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[@stdlib/stats/strided/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dstdevyc
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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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‎lib/node_modules/@stdlib/stats/strided/dnanstdevyc/README.md‎

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@@ -361,7 +361,7 @@ int main( void ) {
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- <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>
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- <span class="package-name">[`@stdlib/stats/strided/dnanvarianceyc`][@stdlib/stats/strided/dnanvarianceyc]</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 algorithm proposed by Youngs and Cramer.</span>
364-
- <span class="package-name">[`@stdlib/stats/base/dstdevyc`][@stdlib/stats/base/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>
364+
- <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/snanstdevyc`][@stdlib/stats/base/snanstdevyc]</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 algorithm proposed by Youngs and Cramer.</span>
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@@ -387,7 +387,7 @@ int main( void ) {
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[@stdlib/stats/strided/dnanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvarianceyc
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[@stdlib/stats/base/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdevyc
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[@stdlib/stats/strided/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dstdevyc
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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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‎lib/node_modules/@stdlib/stats/strided/dsemyc/README.md‎

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@@ -321,7 +321,7 @@ int main( void ) {
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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dsem`][@stdlib/stats/base/dsem]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean for a double-precision floating-point strided array.</span>
324-
- <span class="package-name">[`@stdlib/stats/base/dstdevyc`][@stdlib/stats/base/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>
324+
- <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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</section>
327327
@@ -345,7 +345,7 @@ int main( void ) {
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[@stdlib/stats/base/dsem]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsem
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[@stdlib/stats/base/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdevyc
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[@stdlib/stats/strided/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dstdevyc
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<!-- </related-links> -->
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