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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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@@ -1418,7 +1418,7 @@ ns.push({
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'value': require( '@stdlib/stats/strided/dnanvariancech' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dvariancech',
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'@stdlib/stats/strided/dvariancech',
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'@stdlib/stats/strided/dnanvariance',
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'@stdlib/stats/base/nanvariancech',
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'@stdlib/stats/base/snanvariancech'
@@ -2004,7 +2004,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dnanstdevch',
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'@stdlib/stats/base/dstdev',
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'@stdlib/stats/base/dvariancech',
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'@stdlib/stats/strided/dvariancech',
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'@stdlib/stats/base/sstdevch',
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'@stdlib/stats/base/stdevch'
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]
@@ -2259,8 +2259,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.dvariancech',
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'path': '@stdlib/stats/base/dvariancech',
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'value': require( '@stdlib/stats/base/dvariancech' ),
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'path': '@stdlib/stats/strided/dvariancech',
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'value': require( '@stdlib/stats/strided/dvariancech' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanvariancech',

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

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@@ -1910,7 +1910,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/svariancech' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dvariancech',
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'@stdlib/stats/strided/dvariancech',
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'@stdlib/stats/base/snanvariancech',
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'@stdlib/stats/base/sstdevch',
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'@stdlib/stats/base/svariance',

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

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@@ -46,7 +46,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/variancech' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dvariancech',
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'@stdlib/stats/strided/dvariancech',
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'@stdlib/stats/base/nanvariancech',
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'@stdlib/stats/base/stdevch',
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'@stdlib/stats/base/variance'

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

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@@ -115,7 +115,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`dsvariance( N, correction, x, strideX )`][@stdlib/stats/strided/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>
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- <span class="signature">[`dsvariancepn( N, correction, x, strideX )`][@stdlib/stats/strided/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/strided/dvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array.</span>
118-
- <span class="signature">[`dvariancech( N, correction, x, strideX )`][@stdlib/stats/base/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>
118+
- <span class="signature">[`dvariancech( N, correction, x, strideX )`][@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>
119119
- <span class="signature">[`dvariancepn( N, correction, x, strideX )`][@stdlib/stats/base/dvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.</span>
120120
- <span class="signature">[`dvariancetk( N, correction, x, strideX )`][@stdlib/stats/base/dvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.</span>
121121
- <span class="signature">[`dvariancewd( N, correction, x, strideX )`][@stdlib/stats/base/dvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using Welford's algorithm.</span>
@@ -415,7 +415,7 @@ console.log( objectKeys( ns ) );
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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/dvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancech
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[@stdlib/stats/strided/dvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancech
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[@stdlib/stats/base/dvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancepn
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‎lib/node_modules/@stdlib/stats/base/svariancech/README.md‎

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@@ -352,7 +352,7 @@ int main( void ) {
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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dvariancech`][@stdlib/stats/base/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>
355+
- <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>
356356
- <span class="package-name">[`@stdlib/stats/base/snanvariancech`][@stdlib/stats/base/snanvariancech]</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 trial mean algorithm.</span>
357357
- <span class="package-name">[`@stdlib/stats/base/sstdevch`][@stdlib/stats/base/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>
358358
- <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>
@@ -382,7 +382,7 @@ int main( void ) {
382382
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<!-- <related-links> -->
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[@stdlib/stats/base/dvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancech
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[@stdlib/stats/strided/dvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancech
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[@stdlib/stats/base/snanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariancech
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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 );
183183
- If `N <= 0`, both functions return `NaN`.
184184
- 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/base/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/base/svariancech], etc.) are likely to be significantly more performant.
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188188
</section>
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@@ -241,7 +241,7 @@ console.log( v );
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## See Also
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244-
- <span class="package-name">[`@stdlib/stats/base/dvariancech`][@stdlib/stats/base/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>
244+
- <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>
245245
- <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>
246246
- <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>
247247
- <span class="package-name">[`@stdlib/stats/base/variance`][@stdlib/stats/base/variance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array.</span>
@@ -272,7 +272,7 @@ console.log( v );
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<!-- <related-links> -->
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275-
[@stdlib/stats/base/dvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancech
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[@stdlib/stats/strided/dvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancech
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[@stdlib/stats/base/nanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariancech
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‎lib/node_modules/@stdlib/stats/strided/dnanvariancech/README.md‎

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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dvariancech`][@stdlib/stats/base/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>
363+
- <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>
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- <span class="package-name">[`@stdlib/stats/strided/dnanvariance`][@stdlib/stats/strided/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
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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/snanvariancech`][@stdlib/stats/base/snanvariancech]</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 trial mean algorithm.</span>
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390390
<!-- <related-links> -->
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[@stdlib/stats/base/dvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancech
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[@stdlib/stats/strided/dvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancech
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[@stdlib/stats/strided/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariance
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‎lib/node_modules/@stdlib/stats/strided/dsemch/lib/ndarray.js‎

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// MODULES //
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var dvariancech = require( '@stdlib/stats/base/dvariancech' ).ndarray;
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var dvariancech = require( '@stdlib/stats/strided/dvariancech' ).ndarray;
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var sqrt = require( '@stdlib/math/base/special/sqrt' );
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‎lib/node_modules/@stdlib/stats/strided/dsemch/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/sqrt",
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"@stdlib/stats/base/dvariancech",
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"@stdlib/stats/strided/dvariancech",
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"@stdlib/napi/export",
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"@stdlib/napi/argv",
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"@stdlib/napi/argv-int64",
@@ -65,7 +65,7 @@
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/math/base/special/sqrt",
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"@stdlib/stats/base/dvariancech"
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"@stdlib/stats/strided/dvariancech"
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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/sqrt",
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"@stdlib/stats/base/dvariancech"
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"@stdlib/stats/strided/dvariancech"
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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/sqrt",
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"@stdlib/stats/base/dvariancech"
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"@stdlib/stats/strided/dvariancech"
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]
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}
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]

‎lib/node_modules/@stdlib/stats/strided/dsemch/src/main.c‎

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*/
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#include "stdlib/stats/strided/dsemch.h"
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#include "stdlib/stats/base/dvariancech.h"
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#include "stdlib/stats/strided/dvariancech.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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#include "stdlib/math/base/special/sqrt.h"

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