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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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@@ -1051,7 +1051,7 @@ ns.push({
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'@stdlib/stats/base/dmeanpn',
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'@stdlib/stats/strided/dnanmean',
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'@stdlib/stats/base/nanmeanpn',
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'@stdlib/stats/base/snanmeanpn'
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'@stdlib/stats/strided/snanmeanpn'
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]
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});
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@@ -1784,7 +1784,7 @@ ns.push({
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'@stdlib/stats/strided/dsnanmean',
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'@stdlib/stats/base/nanmeanpn',
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'@stdlib/stats/base/sdsnanmean',
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'@stdlib/stats/base/snanmeanpn'
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'@stdlib/stats/strided/snanmeanpn'
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]
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});
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/n.js‎

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@@ -103,7 +103,7 @@ ns.push({
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'@stdlib/stats/strided/dnanmeanpn',
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'@stdlib/stats/base/meanpn',
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'@stdlib/stats/base/nanmean',
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'@stdlib/stats/base/snanmeanpn'
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'@stdlib/stats/strided/snanmeanpn'
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]
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});
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js‎

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@@ -714,7 +714,7 @@ ns.push({
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'@stdlib/stats/base/dmeanpn',
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'@stdlib/stats/base/meanpn',
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'@stdlib/stats/base/smean',
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'@stdlib/stats/base/snanmeanpn'
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'@stdlib/stats/strided/snanmeanpn'
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]
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});
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@@ -1101,8 +1101,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.snanmeanpn',
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'path': '@stdlib/stats/base/snanmeanpn',
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'value': require( '@stdlib/stats/base/snanmeanpn' ),
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'path': '@stdlib/stats/strided/snanmeanpn',
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'value': require( '@stdlib/stats/strided/snanmeanpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanmeanpn',

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

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@@ -204,7 +204,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`snanmaxabs( N, x, strideX )`][@stdlib/stats/strided/snanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
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- <span class="signature">[`snanmean( N, x, stride )`][@stdlib/stats/base/snanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values.</span>
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- <span class="signature">[`snanmeanors( N, x, strideX )`][@stdlib/stats/strided/snanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation.</span>
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- <span class="signature">[`snanmeanpn( N, x, strideX )`][@stdlib/stats/base/snanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.</span>
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- <span class="signature">[`snanmeanpn( N, x, strideX )`][@stdlib/stats/strided/snanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.</span>
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- <span class="signature">[`snanmeanwd( N, x, strideX )`][@stdlib/stats/base/snanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm.</span>
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- <span class="signature">[`snanmin( N, x, strideX )`][@stdlib/stats/base/snanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
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- <span class="signature">[`snanminabs( N, x, strideX )`][@stdlib/stats/base/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
@@ -593,7 +593,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/strided/snanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmeanors
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[@stdlib/stats/base/snanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmeanpn
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[@stdlib/stats/strided/snanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmeanpn
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[@stdlib/stats/base/snanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmeanwd
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‎lib/node_modules/@stdlib/stats/base/nanmeanpn/README.md‎

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@@ -136,7 +136,7 @@ var v = nanmeanpn.ndarray( N, x, 2, 1 );
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- If `N <= 0`, both functions return `NaN`.
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- If every indexed element is `NaN`, both functions return `NaN`.
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- Depending on the environment, the typed versions ([`dnanmeanpn`][@stdlib/stats/strided/dnanmeanpn], [`snanmeanpn`][@stdlib/stats/base/snanmeanpn], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dnanmeanpn`][@stdlib/stats/strided/dnanmeanpn], [`snanmeanpn`][@stdlib/stats/strided/snanmeanpn], etc.) are likely to be significantly more performant.
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</section>
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- <span class="package-name">[`@stdlib/stats/strided/dnanmeanpn`][@stdlib/stats/strided/dnanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/meanpn`][@stdlib/stats/base/meanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanmean`][@stdlib/stats/base/nanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanmeanpn`][@stdlib/stats/base/snanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanmeanpn`][@stdlib/stats/strided/snanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
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</section>
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@@ -227,7 +227,7 @@ console.log( v );
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[@stdlib/stats/base/nanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmean
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[@stdlib/stats/base/snanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmeanpn
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[@stdlib/stats/strided/snanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmeanpn
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/smeanpn/README.md‎

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@@ -199,7 +199,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/dmeanpn`][@stdlib/stats/base/dmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/meanpn`][@stdlib/stats/base/meanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/smean`][@stdlib/stats/base/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanmeanpn`][@stdlib/stats/base/snanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanmeanpn`][@stdlib/stats/strided/snanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
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</section>
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[@stdlib/stats/base/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smean
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[@stdlib/stats/base/snanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmeanpn
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[@stdlib/stats/strided/snanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmeanpn
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/snanmean/lib/ndarray.js‎

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

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

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

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

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

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*/
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#include "stdlib/stats/base/snanmean.h"
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#include "stdlib/stats/base/snanmeanpn.h"
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#include "stdlib/stats/strided/snanmeanpn.h"
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#include <stdint.h>
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/**

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