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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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@@ -1271,8 +1271,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.dnanstdevpn',
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'path': '@stdlib/stats/base/dnanstdevpn',
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'value': require( '@stdlib/stats/base/dnanstdevpn' ),
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'path': '@stdlib/stats/strided/dnanstdevpn',
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'value': require( '@stdlib/stats/strided/dnanstdevpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanstdev',
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'value': require( '@stdlib/stats/base/dstdevpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanstdevpn',
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'@stdlib/stats/strided/dnanstdevpn',
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'@stdlib/stats/base/dstdev',
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'@stdlib/stats/base/dstdevmpn',
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'@stdlib/stats/base/dvariancepn',

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

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@@ -267,7 +267,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/nanstdevpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanstdevpn',
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'@stdlib/stats/strided/dnanstdevpn',
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'@stdlib/stats/base/nanvariancepn',
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'@stdlib/stats/base/nanstdev',
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'@stdlib/stats/base/snanstdevpn',

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

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@@ -1243,7 +1243,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/snanstdevpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanstdevpn',
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'@stdlib/stats/strided/dnanstdevpn',
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'@stdlib/stats/base/nanstdevpn',
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'@stdlib/stats/base/snanstdev',
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'@stdlib/stats/base/snanvariancepn',

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

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@@ -80,7 +80,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`dnanrange( N, x, strideX )`][@stdlib/stats/strided/dnanrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array, ignoring `NaN` values.</span>
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- <span class="signature">[`dnanstdev( N, correction, x, stride )`][@stdlib/stats/base/dnanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values.</span>
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- <span class="signature">[`dnanstdevch( N, correction, x, strideX )`][@stdlib/stats/strided/dnanstdevch]</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 one-pass trial mean algorithm.</span>
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- <span class="signature">[`dnanstdevpn( N, correction, x, strideX )`][@stdlib/stats/base/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="signature">[`dnanstdevpn( N, correction, x, strideX )`][@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="signature">[`dnanstdevtk( N, correction, x, strideX )`][@stdlib/stats/base/dnanstdevtk]</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 one-pass textbook algorithm.</span>
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- <span class="signature">[`dnanstdevwd( N, correction, x, strideX )`][@stdlib/stats/base/dnanstdevwd]</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 Welford's algorithm.</span>
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- <span class="signature">[`dnanstdevyc( N, correction, x, strideX )`][@stdlib/stats/base/dnanstdevyc]</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 one-pass algorithm proposed by Youngs and Cramer.</span>
@@ -345,7 +345,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/strided/dnanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanstdevch
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[@stdlib/stats/base/dnanstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanstdevpn
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[@stdlib/stats/strided/dnanstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanstdevpn
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[@stdlib/stats/base/dnanstdevtk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanstdevtk
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‎lib/node_modules/@stdlib/stats/base/dnanstdev/lib/dnanstdev.js‎

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

‎lib/node_modules/@stdlib/stats/base/dnanstdev/lib/ndarray.js‎

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

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

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],
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"libpath": [],
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"dependencies": [
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"@stdlib/stats/base/dnanstdevpn",
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"@stdlib/stats/strided/dnanstdevpn",
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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/dnanstdevpn"
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"@stdlib/stats/strided/dnanstdevpn"
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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/dnanstdevpn"
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"@stdlib/stats/strided/dnanstdevpn"
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]
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}
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]

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

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*/
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#include "stdlib/stats/base/dnanstdev.h"
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#include "stdlib/stats/base/dnanstdevpn.h"
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#include "stdlib/stats/strided/dnanstdevpn.h"
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#include <stdint.h>
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/**

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

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@@ -349,7 +349,7 @@ int main( void ) {
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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dnanstdevpn`][@stdlib/stats/base/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/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/base/dvariancepn`][@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>
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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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<!-- <related-links> -->
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[@stdlib/stats/base/dnanstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanstdevpn
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[@stdlib/stats/strided/dnanstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanstdevpn
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[@stdlib/stats/base/dstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdev
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‎lib/node_modules/@stdlib/stats/base/nanstdevpn/README.md‎

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@@ -182,7 +182,7 @@ var v = nanstdevpn.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 and `n` corresponds to the number of non-`NaN` indexed elements), both functions return `NaN`.
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- Depending on the environment, the typed versions ([`dnanstdevpn`][@stdlib/stats/base/dnanstdevpn], [`snanstdevpn`][@stdlib/stats/base/snanstdevpn], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dnanstdevpn`][@stdlib/stats/strided/dnanstdevpn], [`snanstdevpn`][@stdlib/stats/base/snanstdevpn], etc.) are likely to be significantly more performant.
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</section>
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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dnanstdevpn`][@stdlib/stats/base/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/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/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/nanstdev`][@stdlib/stats/base/nanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values.</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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<!-- <related-links> -->
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[@stdlib/stats/base/dnanstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanstdevpn
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[@stdlib/stats/strided/dnanstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanstdevpn
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[@stdlib/stats/base/nanvariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariancepn
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