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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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@@ -2322,7 +2322,7 @@ ns.push({
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'@stdlib/stats/strided/dnanvarianceyc',
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'@stdlib/stats/strided/dstdevyc',
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'@stdlib/stats/strided/dvariance',
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'@stdlib/stats/base/svarianceyc',
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'@stdlib/stats/strided/svarianceyc',
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'@stdlib/stats/base/varianceyc'
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]
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});

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

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@@ -1448,7 +1448,7 @@ ns.push({
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'@stdlib/stats/base/nanvarianceyc',
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'@stdlib/stats/base/snanstdevyc',
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'@stdlib/stats/base/snanvariance',
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'@stdlib/stats/base/svarianceyc'
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'@stdlib/stats/strided/svarianceyc'
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]
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});
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@@ -1694,7 +1694,7 @@ ns.push({
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'@stdlib/stats/base/snanstdevyc',
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'@stdlib/stats/base/sstdev',
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'@stdlib/stats/base/stdevyc',
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'@stdlib/stats/base/svarianceyc'
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'@stdlib/stats/strided/svarianceyc'
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]
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});
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@@ -1963,8 +1963,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.svarianceyc',
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'path': '@stdlib/stats/base/svarianceyc',
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'value': require( '@stdlib/stats/base/svarianceyc' ),
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'path': '@stdlib/stats/strided/svarianceyc',
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'value': require( '@stdlib/stats/strided/svarianceyc' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dvarianceyc',

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

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@@ -242,7 +242,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`svariancepn( N, correction, x, strideX )`][@stdlib/stats/strided/svariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.</span>
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- <span class="signature">[`svariancetk( N, correction, x, strideX )`][@stdlib/stats/strided/svariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.</span>
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- <span class="signature">[`svariancewd( N, correction, x, stride )`][@stdlib/stats/base/svariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="signature">[`svarianceyc( N, correction, x, strideX )`][@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="signature">[`svarianceyc( N, correction, x, strideX )`][@stdlib/stats/strided/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="signature">[`variance( N, correction, x, stride )`][@stdlib/stats/base/variance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array.</span>
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- <span class="signature">[`variancech( N, correction, x, stride )`][@stdlib/stats/base/variancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass trial mean algorithm.</span>
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- <span class="signature">[`variancepn( N, correction, x, stride )`][@stdlib/stats/base/variancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a two-pass algorithm.</span>
@@ -669,7 +669,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/svariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancewd
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[@stdlib/stats/base/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svarianceyc
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[@stdlib/stats/strided/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svarianceyc
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[@stdlib/stats/base/variance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/variance
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‎lib/node_modules/@stdlib/stats/base/snanvarianceyc/README.md

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@@ -246,7 +246,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/nanvarianceyc`][@stdlib/stats/base/nanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance 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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- <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>
249-
- <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>
249+
- <span class="package-name">[`@stdlib/stats/strided/svarianceyc`][@stdlib/stats/strided/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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</section>
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@@ -274,7 +274,7 @@ console.log( v );
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[@stdlib/stats/base/snanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariance
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277-
[@stdlib/stats/base/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svarianceyc
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[@stdlib/stats/strided/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svarianceyc
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/varianceyc/README.md

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@@ -182,7 +182,7 @@ var v = varianceyc.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 ([`dvarianceyc`][@stdlib/stats/strided/dvarianceyc], [`svarianceyc`][@stdlib/stats/base/svarianceyc], etc.) are likely to be significantly more performant.
185+
- Depending on the environment, the typed versions ([`dvarianceyc`][@stdlib/stats/strided/dvarianceyc], [`svarianceyc`][@stdlib/stats/strided/svarianceyc], etc.) are likely to be significantly more performant.
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</section>
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@@ -256,7 +256,7 @@ console.log( v );
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[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
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259-
[@stdlib/stats/base/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svarianceyc
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[@stdlib/stats/strided/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svarianceyc
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[@youngs:1971a]: https://doi.org/10.1080/00401706.1971.10488826
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‎lib/node_modules/@stdlib/stats/strided/dvarianceyc/README.md

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@@ -351,7 +351,7 @@ int main( void ) {
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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>
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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/strided/dvariance`][@stdlib/stats/strided/dvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array.</span>
354-
- <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/strided/svarianceyc`][@stdlib/stats/strided/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>
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</section>
@@ -378,7 +378,7 @@ int main( void ) {
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[@stdlib/stats/strided/dvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariance
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[@stdlib/stats/base/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svarianceyc
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[@stdlib/stats/strided/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svarianceyc
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[@stdlib/stats/base/varianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/varianceyc
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‎lib/node_modules/@stdlib/stats/strided/sstdevyc/README.md

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@@ -352,7 +352,7 @@ int main( void ) {
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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>
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- <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/strided/svarianceyc`][@stdlib/stats/strided/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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</section>
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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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[@stdlib/stats/base/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svarianceyc
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[@stdlib/stats/strided/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svarianceyc
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/sstdevyc/lib/ndarray.js

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// MODULES //
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var svarianceyc = require( '@stdlib/stats/base/svarianceyc' ).ndarray;
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var svarianceyc = require( '@stdlib/stats/strided/svarianceyc' ).ndarray;
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var sqrtf = require( '@stdlib/math/base/special/sqrtf' );
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‎lib/node_modules/@stdlib/stats/strided/sstdevyc/manifest.json

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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/math/base/special/sqrtf",
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"@stdlib/stats/base/svarianceyc",
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"@stdlib/stats/strided/svarianceyc",
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"@stdlib/napi/export",
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"@stdlib/napi/argv",
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/math/base/special/sqrtf",
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"@stdlib/stats/base/svarianceyc"
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"@stdlib/stats/strided/svarianceyc"
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]
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},
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{
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/math/base/special/sqrtf",
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"@stdlib/stats/base/svarianceyc"
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"@stdlib/stats/strided/svarianceyc"
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]
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},
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{
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/math/base/special/sqrtf",
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"@stdlib/stats/base/svarianceyc"
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"@stdlib/stats/strided/svarianceyc"
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]
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}
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‎lib/node_modules/@stdlib/stats/strided/sstdevyc/src/main.c

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*/
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#include "stdlib/stats/strided/sstdevyc.h"
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#include "stdlib/stats/base/svarianceyc.h"
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#include "stdlib/stats/strided/svarianceyc.h"
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#include "stdlib/math/base/special/sqrtf.h"
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#include "stdlib/blas/base/shared.h"
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#include "stdlib/strided/base/stride2offset.h"

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