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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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@@ -2308,7 +2308,7 @@ ns.push({
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'@stdlib/stats/strided/dnanvariancewd',
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'@stdlib/stats/strided/dstdevwd',
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'@stdlib/stats/strided/dvariance',
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'@stdlib/stats/base/svariancewd',
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'@stdlib/stats/strided/svariancewd',
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'@stdlib/stats/base/variancewd'
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]
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});

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

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@@ -1434,7 +1434,7 @@ ns.push({
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'@stdlib/stats/base/nanvariancewd',
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'@stdlib/stats/base/snanstdevwd',
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'@stdlib/stats/base/snanvariance',
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'@stdlib/stats/base/svariancewd'
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'@stdlib/stats/strided/svariancewd'
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]
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});
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@@ -1680,7 +1680,7 @@ ns.push({
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'@stdlib/stats/base/snanstdevwd',
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'@stdlib/stats/strided/sstdev',
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'@stdlib/stats/base/stdevwd',
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'@stdlib/stats/base/svariancewd'
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'@stdlib/stats/strided/svariancewd'
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]
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});
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@@ -1949,8 +1949,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.svariancewd',
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'path': '@stdlib/stats/base/svariancewd',
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'value': require( '@stdlib/stats/base/svariancewd' ),
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'path': '@stdlib/stats/strided/svariancewd',
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'value': require( '@stdlib/stats/strided/svariancewd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dvariancewd',

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

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@@ -116,7 +116,7 @@ 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, strideX )`][@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">[`svariancewd( N, correction, x, strideX )`][@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">[`svariancewd( N, correction, x, strideX )`][@stdlib/stats/strided/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">[`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, strideX )`][@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, strideX )`][@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>
@@ -291,7 +291,7 @@ 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/svariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancewd
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[@stdlib/stats/strided/svariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancewd
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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/snanvariancewd/README.md‎

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@@ -247,7 +247,7 @@ console.log( v );
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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/snanstdevwd`][@stdlib/stats/base/snanstdevwd]</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 Welford's algorithm.</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>
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- <span class="package-name">[`@stdlib/stats/base/svariancewd`][@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="package-name">[`@stdlib/stats/strided/svariancewd`][@stdlib/stats/strided/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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</section>
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@@ -277,7 +277,7 @@ 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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[@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/strided/svariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancewd
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/sstdevwd/README.md‎

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@@ -249,7 +249,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/snanstdevwd`][@stdlib/stats/base/snanstdevwd]</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 Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sstdev`][@stdlib/stats/strided/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/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>
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- <span class="package-name">[`@stdlib/stats/base/svariancewd`][@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="package-name">[`@stdlib/stats/strided/svariancewd`][@stdlib/stats/strided/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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</section>
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[@stdlib/stats/base/stdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevwd
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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/strided/svariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancewd
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/sstdevwd/lib/ndarray.js‎

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// MODULES //
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var float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' );
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var svariancewd = require( '@stdlib/stats/base/svariancewd' ).ndarray;
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var svariancewd = require( '@stdlib/stats/strided/svariancewd' ).ndarray;
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var sqrt = require( '@stdlib/math/base/special/sqrt' );
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‎lib/node_modules/@stdlib/stats/base/sstdevwd/lib/sstdevwd.js‎

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// MODULES //
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var float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' );
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var svariancewd = require( '@stdlib/stats/base/svariancewd' );
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var svariancewd = require( '@stdlib/stats/strided/svariancewd' );
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var sqrt = require( '@stdlib/math/base/special/sqrt' );
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‎lib/node_modules/@stdlib/stats/base/sstdevwd/manifest.json‎

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],
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"confs": [
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{
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"task": "build",
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"task": "build",
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"src": [
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],
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"libpath": [],
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"dependencies": [
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"@stdlib/stats/base/svariancewd",
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"@stdlib/stats/strided/svariancewd",
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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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],
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"libpath": [],
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"dependencies": [
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"@stdlib/stats/base/svariancewd"
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"@stdlib/stats/strided/svariancewd"
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{
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],
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"libpath": [],
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"dependencies": [
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"@stdlib/stats/base/svariancewd"
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"@stdlib/stats/strided/svariancewd"
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]
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‎lib/node_modules/@stdlib/stats/base/sstdevwd/src/sstdevwd.c‎

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*/
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#include "stdlib/stats/base/sstdevwd.h"
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#include "stdlib/stats/base/svariancewd.h"
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#include "stdlib/stats/strided/svariancewd.h"
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#include <stdint.h>
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#include <math.h>
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‎lib/node_modules/@stdlib/stats/base/variancewd/README.md‎

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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`.
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- 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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- Depending on the environment, the typed versions ([`dvariancewd`][@stdlib/stats/strided/dvariancewd], [`svariancewd`][@stdlib/stats/strided/svariancewd], etc.) are likely to be significantly more performant.
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</section>
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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/svariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancewd
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[@stdlib/stats/strided/svariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancewd
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[@welford:1962a]: https://doi.org/10.1080/00401706.1962.10490022
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