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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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@@ -2168,7 +2168,7 @@ ns.push({
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'@stdlib/stats/strided/dsvariance',
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'@stdlib/stats/base/variancepn',
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'@stdlib/stats/base/sdsvariance',
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'@stdlib/stats/base/svariancepn'
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'@stdlib/stats/strided/svariancepn'
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]
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});
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@@ -2280,7 +2280,7 @@ ns.push({
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'@stdlib/stats/strided/dnanvariancepn',
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'@stdlib/stats/strided/dstdevpn',
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'@stdlib/stats/strided/dvariance',
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'@stdlib/stats/base/svariancepn',
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'@stdlib/stats/strided/svariancepn',
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'@stdlib/stats/base/variancepn'
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]
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});

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

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@@ -1406,7 +1406,7 @@ ns.push({
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'@stdlib/stats/base/nanvariancepn',
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'@stdlib/stats/base/snanstdevpn',
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'@stdlib/stats/base/snanvariance',
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'@stdlib/stats/base/svariancepn'
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'@stdlib/stats/strided/svariancepn'
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]
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});
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@@ -1652,7 +1652,7 @@ ns.push({
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'@stdlib/stats/base/sstdev',
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'@stdlib/stats/base/sstdevmpn',
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'@stdlib/stats/base/stdevpn',
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'@stdlib/stats/base/svariancepn'
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'@stdlib/stats/strided/svariancepn'
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]
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});
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@@ -1920,8 +1920,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.svariancepn',
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'path': '@stdlib/stats/base/svariancepn',
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'value': require( '@stdlib/stats/base/svariancepn' ),
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'path': '@stdlib/stats/strided/svariancepn',
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'value': require( '@stdlib/stats/strided/svariancepn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dvariancepn',

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

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@@ -239,7 +239,7 @@ The namespace contains the following statistical functions:
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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/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">[`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/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>
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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>
@@ -663,7 +663,7 @@ console.log( objectKeys( ns ) );
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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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[@stdlib/stats/strided/svariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancepn
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[@stdlib/stats/base/svariancetk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancetk
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‎lib/node_modules/@stdlib/stats/base/snanvariancepn/README.md

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@@ -247,7 +247,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/nanvariancepn`][@stdlib/stats/base/nanvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using a two-pass algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanstdevpn`][@stdlib/stats/base/snanstdevpn]</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 two-pass 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/svariancepn`][@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="package-name">[`@stdlib/stats/strided/svariancepn`][@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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</section>
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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/svariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancepn
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[@stdlib/stats/strided/svariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancepn
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/svariance/lib/ndarray.js

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// MODULES //
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var svariancepn = require( '@stdlib/stats/base/svariancepn' ).ndarray;
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var svariancepn = require( '@stdlib/stats/strided/svariancepn' ).ndarray;
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// MAIN //

‎lib/node_modules/@stdlib/stats/base/svariance/lib/svariance.js

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// MODULES //
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var svariancepn = require( '@stdlib/stats/base/svariancepn' );
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var svariancepn = require( '@stdlib/stats/strided/svariancepn' );
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// MAIN //

‎lib/node_modules/@stdlib/stats/base/svariance/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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"./src/svariance.c"
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],
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"libpath": [],
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"dependencies": [
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"@stdlib/stats/base/svariancepn",
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"@stdlib/stats/strided/svariancepn",
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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/svariancepn"
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"@stdlib/stats/strided/svariancepn"
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},
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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/svariancepn"
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"@stdlib/stats/strided/svariancepn"
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]
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]

‎lib/node_modules/@stdlib/stats/base/svariance/src/svariance.c

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*/
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#include "stdlib/stats/base/svariance.h"
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#include "stdlib/stats/base/svariancepn.h"
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#include "stdlib/stats/strided/svariancepn.h"
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/**

‎lib/node_modules/@stdlib/stats/base/variancepn/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 ([`dvariancepn`][@stdlib/stats/strided/dvariancepn], [`svariancepn`][@stdlib/stats/base/svariancepn], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dvariancepn`][@stdlib/stats/strided/dvariancepn], [`svariancepn`][@stdlib/stats/strided/svariancepn], 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/svariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancepn
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[@stdlib/stats/strided/svariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancepn
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[@neely:1966a]: https://doi.org/10.1145/365719.365958
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‎lib/node_modules/@stdlib/stats/strided/dsvariancepn/README.md

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- <span class="package-name">[`@stdlib/stats/strided/dvariancepn`][@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>
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- <span class="package-name">[`@stdlib/stats/strided/dsvariance`][@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="package-name">[`@stdlib/stats/base/variancepn`][@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>
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- <span class="package-name">[`@stdlib/stats/base/svariancepn`][@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="package-name">[`@stdlib/stats/strided/svariancepn`][@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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</section>
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[@stdlib/stats/base/variancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/variancepn
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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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[@stdlib/stats/strided/svariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancepn
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<!-- </related-links> -->
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