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refactor: update paths
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14 files changed

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

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@@ -1457,7 +1457,7 @@ ns.push({
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'value': require( '@stdlib/stats/strided/dnanvariancewd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dvariancewd',
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'@stdlib/stats/strided/dvariancewd',
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'@stdlib/stats/strided/dnanvariance',
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'@stdlib/stats/base/nanvariancewd',
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'@stdlib/stats/base/snanvariancewd'
@@ -2047,7 +2047,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dnanstdevwd',
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'@stdlib/stats/base/dstdev',
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'@stdlib/stats/base/dvariancewd',
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'@stdlib/stats/strided/dvariancewd',
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'@stdlib/stats/base/sstdevwd',
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'@stdlib/stats/base/stdevwd'
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]
@@ -2301,8 +2301,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.dvariancewd',
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'path': '@stdlib/stats/base/dvariancewd',
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'value': require( '@stdlib/stats/base/dvariancewd' ),
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'path': '@stdlib/stats/strided/dvariancewd',
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'value': require( '@stdlib/stats/strided/dvariancewd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanvariancewd',

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

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@@ -1953,7 +1953,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/svariancewd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dvariancewd',
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'@stdlib/stats/strided/dvariancewd',
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'@stdlib/stats/base/snanvariancewd',
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'@stdlib/stats/base/sstdevwd',
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'@stdlib/stats/base/svariance',

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

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@@ -86,7 +86,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/variancewd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dvariancewd',
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'@stdlib/stats/strided/dvariancewd',
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'@stdlib/stats/base/nanvariancewd',
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'@stdlib/stats/base/stdevwd',
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'@stdlib/stats/base/variance'

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

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@@ -118,7 +118,7 @@ The namespace contains the following statistical functions:
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- <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>
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- <span class="signature">[`dvariancepn( N, correction, x, strideX )`][@stdlib/stats/strided/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/strided/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>
121-
- <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>
121+
- <span class="signature">[`dvariancewd( N, correction, x, strideX )`][@stdlib/stats/strided/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>
122122
- <span class="signature">[`dvarianceyc( N, correction, x, strideX )`][@stdlib/stats/base/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>
123123
- <span class="signature">[`dvarm( N, mean, correction, x, stride )`][@stdlib/stats/base/dvarm]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array provided a known mean.</span>
124124
- <span class="signature">[`dvarmpn( N, mean, correction, x, stride )`][@stdlib/stats/base/dvarmpn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.</span>
@@ -421,7 +421,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/strided/dvariancetk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancetk
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[@stdlib/stats/base/dvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancewd
424+
[@stdlib/stats/strided/dvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancewd
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426426
[@stdlib/stats/base/dvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvarianceyc
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‎lib/node_modules/@stdlib/stats/base/svariancewd/README.md‎

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@@ -245,7 +245,7 @@ console.log( v );
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## See Also
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248-
- <span class="package-name">[`@stdlib/stats/base/dvariancewd`][@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>
248+
- <span class="package-name">[`@stdlib/stats/strided/dvariancewd`][@stdlib/stats/strided/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>
249249
- <span class="package-name">[`@stdlib/stats/base/snanvariancewd`][@stdlib/stats/base/snanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.</span>
250250
- <span class="package-name">[`@stdlib/stats/base/sstdevwd`][@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>
251251
- <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>
@@ -271,7 +271,7 @@ console.log( v );
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<!-- <related-links> -->
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274-
[@stdlib/stats/base/dvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancewd
274+
[@stdlib/stats/strided/dvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancewd
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[@stdlib/stats/base/snanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariancewd
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‎lib/node_modules/@stdlib/stats/base/variancewd/README.md‎

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@@ -182,7 +182,7 @@ var v = variancewd.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 ([`dvariancewd`][@stdlib/stats/base/dvariancewd], [`svariancewd`][@stdlib/stats/base/svariancewd], etc.) are likely to be significantly more performant.
185+
- Depending on the environment, the typed versions ([`dvariancewd`][@stdlib/stats/strided/dvariancewd], [`svariancewd`][@stdlib/stats/base/svariancewd], etc.) are likely to be significantly more performant.
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187187
</section>
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@@ -238,7 +238,7 @@ console.log( v );
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239239
## See Also
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241-
- <span class="package-name">[`@stdlib/stats/base/dvariancewd`][@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>
241+
- <span class="package-name">[`@stdlib/stats/strided/dvariancewd`][@stdlib/stats/strided/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>
242242
- <span class="package-name">[`@stdlib/stats/base/nanvariancewd`][@stdlib/stats/base/nanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.</span>
243243
- <span class="package-name">[`@stdlib/stats/base/stdevwd`][@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>
244244
- <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>
@@ -265,7 +265,7 @@ console.log( v );
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<!-- <related-links> -->
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268-
[@stdlib/stats/base/dvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancewd
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[@stdlib/stats/strided/dvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancewd
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[@stdlib/stats/base/nanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariancewd
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‎lib/node_modules/@stdlib/stats/strided/dnanvariancewd/README.md‎

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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dvariancewd`][@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>
363+
- <span class="package-name">[`@stdlib/stats/strided/dvariancewd`][@stdlib/stats/strided/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>
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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/nanvariancewd`][@stdlib/stats/base/nanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanvariancewd`][@stdlib/stats/base/snanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.</span>
@@ -385,7 +385,7 @@ int main( void ) {
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<!-- <related-links> -->
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[@stdlib/stats/base/dvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvariancewd
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[@stdlib/stats/strided/dvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancewd
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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/dsemwd/lib/ndarray.js‎

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// MODULES //
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var dvariancewd = require( '@stdlib/stats/base/dvariancewd' ).ndarray;
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var dvariancewd = require( '@stdlib/stats/strided/dvariancewd' ).ndarray;
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var sqrt = require( '@stdlib/math/base/special/sqrt' );
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‎lib/node_modules/@stdlib/stats/strided/dsemwd/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/dvariancewd",
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"@stdlib/stats/strided/dvariancewd",
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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/dvariancewd"
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"@stdlib/stats/strided/dvariancewd"
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]
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},
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{
@@ -83,7 +83,7 @@
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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/dvariancewd"
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"@stdlib/stats/strided/dvariancewd"
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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/dvariancewd"
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"@stdlib/stats/strided/dvariancewd"
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]
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}
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]

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

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*/
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#include "stdlib/stats/strided/dsemwd.h"
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#include "stdlib/stats/base/dvariancewd.h"
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#include "stdlib/stats/strided/dvariancewd.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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