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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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@@ -2266,7 +2266,7 @@ ns.push({
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'@stdlib/stats/strided/dnanvariancech',
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'@stdlib/stats/strided/dstdevch',
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'@stdlib/stats/strided/dvariance',
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'@stdlib/stats/base/svariancech',
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'@stdlib/stats/strided/svariancech',
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'@stdlib/stats/base/variancech'
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]
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});

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

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@@ -1392,7 +1392,7 @@ ns.push({
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'@stdlib/stats/base/nanvariancech',
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'@stdlib/stats/base/snanstdevch',
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'@stdlib/stats/base/snanvariance',
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'@stdlib/stats/base/svariancech'
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'@stdlib/stats/strided/svariancech'
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]
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});
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@@ -1637,7 +1637,7 @@ ns.push({
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'@stdlib/stats/base/snanstdevch',
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'@stdlib/stats/base/sstdev',
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'@stdlib/stats/base/stdevch',
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'@stdlib/stats/base/svariancech'
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'@stdlib/stats/strided/svariancech'
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]
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});
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@@ -1906,8 +1906,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.svariancech',
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'path': '@stdlib/stats/base/svariancech',
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'value': require( '@stdlib/stats/base/svariancech' ),
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'path': '@stdlib/stats/strided/svariancech',
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'value': require( '@stdlib/stats/strided/svariancech' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dvariancech',

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

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@@ -238,7 +238,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`stdevwd( N, correction, x, stride )`][@stdlib/stats/base/stdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using Welford's algorithm.</span>
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- <span class="signature">[`stdevyc( N, correction, x, stride )`][@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="signature">[`svariance( N, correction, x, stride )`][@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="signature">[`svariancech( N, correction, x, strideX )`][@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>
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- <span class="signature">[`svariancech( N, correction, x, strideX )`][@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>
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- <span class="signature">[`svariancepn( N, correction, x, strideX )`][@stdlib/stats/base/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/base/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>
@@ -661,7 +661,7 @@ console.log( objectKeys( ns ) );
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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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[@stdlib/stats/base/svariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancech
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[@stdlib/stats/strided/svariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancech
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[@stdlib/stats/base/svariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancepn
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‎lib/node_modules/@stdlib/stats/base/snanvariancech/README.md‎

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@@ -250,7 +250,7 @@ console.log( v );
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- <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>
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- <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>
252252
- <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>
253-
- <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>
253+
- <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>
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255255
</section>
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@@ -284,7 +284,7 @@ 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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287-
[@stdlib/stats/base/svariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancech
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[@stdlib/stats/strided/svariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancech
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/variancech/README.md‎

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@@ -183,7 +183,7 @@ var v = variancech.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`.
185185
- 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 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).
186-
- Depending on the environment, the typed versions ([`dvariancech`][@stdlib/stats/strided/dvariancech], [`svariancech`][@stdlib/stats/base/svariancech], etc.) are likely to be significantly more performant.
186+
- Depending on the environment, the typed versions ([`dvariancech`][@stdlib/stats/strided/dvariancech], [`svariancech`][@stdlib/stats/strided/svariancech], etc.) are likely to be significantly more performant.
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188188
</section>
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@@ -260,7 +260,7 @@ 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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[@stdlib/stats/base/svariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancech
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[@stdlib/stats/strided/svariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancech
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[@neely:1966a]: https://doi.org/10.1145/365719.365958
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‎lib/node_modules/@stdlib/stats/strided/dvariancech/README.md‎

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@@ -355,7 +355,7 @@ int main( void ) {
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- <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>
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- <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>
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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>
358-
- <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>
358+
- <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>
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- <span class="package-name">[`@stdlib/stats/base/variancech`][@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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</section>
@@ -388,7 +388,7 @@ 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/svariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancech
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[@stdlib/stats/strided/svariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancech
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[@stdlib/stats/base/variancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/variancech
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‎lib/node_modules/@stdlib/stats/strided/sstdevch/README.md‎

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@@ -356,7 +356,7 @@ int main( void ) {
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- <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>
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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/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>
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- <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>
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- <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>
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[@stdlib/stats/base/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevch
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[@stdlib/stats/base/svariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancech
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[@stdlib/stats/strided/svariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancech
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/sstdevch/lib/ndarray.js‎

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// MODULES //
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var svariancech = require( '@stdlib/stats/base/svariancech' ).ndarray;
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var svariancech = require( '@stdlib/stats/strided/svariancech' ).ndarray;
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var sqrtf = require( '@stdlib/math/base/special/sqrtf' );
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‎lib/node_modules/@stdlib/stats/strided/sstdevch/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/svariancech",
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"@stdlib/stats/strided/svariancech",
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"@stdlib/napi/export",
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"@stdlib/napi/argv",
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"@stdlib/napi/argv-int64",
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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/svariancech"
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"@stdlib/stats/strided/svariancech"
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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/svariancech"
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"@stdlib/stats/strided/svariancech"
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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/svariancech"
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"@stdlib/stats/strided/svariancech"
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]
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}
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‎lib/node_modules/@stdlib/stats/strided/sstdevch/src/main.c‎

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

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