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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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@@ -2020,7 +2020,7 @@ ns.push({
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'@stdlib/stats/base/dstdev',
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'@stdlib/stats/base/dstdevmpn',
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'@stdlib/stats/strided/dvariancepn',
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'@stdlib/stats/base/sstdevpn',
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'@stdlib/stats/strided/sstdevpn',
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'@stdlib/stats/base/stdevpn'
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]
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});

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

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@@ -1247,7 +1247,7 @@ ns.push({
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'@stdlib/stats/base/nanstdevpn',
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'@stdlib/stats/base/snanstdev',
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'@stdlib/stats/base/snanvariancepn',
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'@stdlib/stats/base/sstdevpn'
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'@stdlib/stats/strided/sstdevpn'
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]
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});
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@@ -1643,8 +1643,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.sstdevpn',
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'path': '@stdlib/stats/base/sstdevpn',
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'value': require( '@stdlib/stats/base/sstdevpn' ),
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'path': '@stdlib/stats/strided/sstdevpn',
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'value': require( '@stdlib/stats/strided/sstdevpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dstdevpn',
@@ -1823,7 +1823,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dstdevpn',
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'@stdlib/stats/base/nanstdevpn',
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'@stdlib/stats/base/sstdevpn',
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'@stdlib/stats/strided/sstdevpn',
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'@stdlib/stats/base/stdev',
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'@stdlib/stats/base/stdevmpn',
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'@stdlib/stats/base/variancepn'
@@ -1926,7 +1926,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dvariancepn',
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'@stdlib/stats/base/snanvariancepn',
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'@stdlib/stats/base/sstdevpn',
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'@stdlib/stats/strided/sstdevpn',
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'@stdlib/stats/base/svariance',
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'@stdlib/stats/base/svarmpn',
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'@stdlib/stats/base/variancepn'

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

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@@ -227,7 +227,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`srange( N, x, strideX )`][@stdlib/stats/strided/srange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array.</span>
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- <span class="signature">[`sstdev( N, correction, x, stride )`][@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="signature">[`sstdevch( N, correction, x, strideX )`][@stdlib/stats/strided/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>
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- <span class="signature">[`sstdevpn( N, correction, x, strideX )`][@stdlib/stats/base/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.</span>
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- <span class="signature">[`sstdevpn( N, correction, x, strideX )`][@stdlib/stats/strided/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.</span>
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- <span class="signature">[`sstdevtk( N, correction, x, strideX )`][@stdlib/stats/base/sstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.</span>
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- <span class="signature">[`sstdevwd( N, correction, x, stride )`][@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>
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- <span class="signature">[`sstdevyc( N, correction, x, strideX )`][@stdlib/stats/base/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
@@ -639,7 +639,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/strided/sstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevch
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[@stdlib/stats/base/sstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevpn
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[@stdlib/stats/strided/sstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevpn
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[@stdlib/stats/base/sstdevtk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevtk
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‎lib/node_modules/@stdlib/stats/base/snanstdevpn/README.md

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@@ -247,7 +247,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/nanstdevpn`][@stdlib/stats/base/nanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation 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/snanstdev`][@stdlib/stats/base/snanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanvariancepn`][@stdlib/stats/base/snanvariancepn]</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 two-pass algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/sstdevpn`][@stdlib/stats/base/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation 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/sstdevpn`][@stdlib/stats/strided/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a two-pass 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/snanvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariancepn
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[@stdlib/stats/base/sstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevpn
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[@stdlib/stats/strided/sstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevpn
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/sstdev/lib/ndarray.js

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

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

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// MODULES //
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23-
var sstdevpn = require( '@stdlib/stats/base/sstdevpn' );
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var sstdevpn = require( '@stdlib/stats/strided/sstdevpn' );
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// MAIN //

‎lib/node_modules/@stdlib/stats/base/sstdev/manifest.json

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@@ -43,7 +43,7 @@
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"@stdlib/napi/argv-int64",
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"@stdlib/napi/argv-float",
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"@stdlib/napi/argv-strided-float32array",
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"@stdlib/stats/base/sstdevpn",
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"@stdlib/stats/strided/sstdevpn",
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"@stdlib/napi/create-double"
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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/sstdevpn"
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"@stdlib/stats/strided/sstdevpn"
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]
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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/sstdevpn"
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"@stdlib/stats/strided/sstdevpn"
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]
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}
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]

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

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*/
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#include "stdlib/stats/base/sstdev.h"
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#include "stdlib/stats/base/sstdevpn.h"
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#include "stdlib/stats/strided/sstdevpn.h"
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#include <stdint.h>
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/**

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

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@@ -182,7 +182,7 @@ var v = stdevpn.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`.
185-
- Depending on the environment, the typed versions ([`dstdevpn`][@stdlib/stats/strided/dstdevpn], [`sstdevpn`][@stdlib/stats/base/sstdevpn], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dstdevpn`][@stdlib/stats/strided/dstdevpn], [`sstdevpn`][@stdlib/stats/strided/sstdevpn], etc.) are likely to be significantly more performant.
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</section>
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@@ -240,7 +240,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/strided/dstdevpn`][@stdlib/stats/strided/dstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanstdevpn`][@stdlib/stats/base/nanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation 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/sstdevpn`][@stdlib/stats/base/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation 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/sstdevpn`][@stdlib/stats/strided/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/stdev`][@stdlib/stats/base/stdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array.</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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[@stdlib/stats/strided/dstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dstdevpn
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[@stdlib/stats/base/sstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevpn
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[@stdlib/stats/strided/sstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevpn
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[@neely:1966a]: https://doi.org/10.1145/365719.365958
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‎lib/node_modules/@stdlib/stats/base/svariancepn/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/base/snanvariancepn`][@stdlib/stats/base/snanvariancepn]</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 two-pass algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/sstdevpn`][@stdlib/stats/base/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation 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/sstdevpn`][@stdlib/stats/strided/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.</span>
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- <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>
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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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[@stdlib/stats/base/snanvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariancepn
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[@stdlib/stats/base/sstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevpn
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[@stdlib/stats/strided/sstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevpn
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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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‎lib/node_modules/@stdlib/stats/strided/dstdevpn/README.md

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@@ -352,7 +352,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dnanstdevpn`][@stdlib/stats/strided/dnanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-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/dstdev`][@stdlib/stats/base/dstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array.</span>
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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/base/sstdevpn`][@stdlib/stats/base/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation 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/sstdevpn`][@stdlib/stats/strided/sstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/stdevpn`][@stdlib/stats/base/stdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a two-pass algorithm.</span>
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</section>
@@ -381,7 +381,7 @@ int main( void ) {
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[@stdlib/stats/strided/dvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancepn
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[@stdlib/stats/base/sstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevpn
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[@stdlib/stats/strided/sstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevpn
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[@stdlib/stats/base/stdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevpn
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