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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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@@ -569,7 +569,7 @@ ns.push({
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'@stdlib/stats/strided/dmean',
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'@stdlib/stats/strided/dnanmeanpn',
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'@stdlib/stats/base/meanpn',
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'@stdlib/stats/base/smeanpn'
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'@stdlib/stats/strided/smeanpn'
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]
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});
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@@ -1712,7 +1712,7 @@ ns.push({
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'@stdlib/stats/strided/dsmean',
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'@stdlib/stats/strided/dsnanmeanpn',
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'@stdlib/stats/base/meanpn',
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'@stdlib/stats/base/smeanpn'
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'@stdlib/stats/strided/smeanpn'
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]
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});
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/m.js

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@@ -173,7 +173,7 @@ ns.push({
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'@stdlib/stats/strided/dmeanpn',
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'@stdlib/stats/base/mean',
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'@stdlib/stats/base/nanmeanpn',
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'@stdlib/stats/base/smeanpn'
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'@stdlib/stats/strided/smeanpn'
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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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@@ -707,8 +707,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.smeanpn',
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'path': '@stdlib/stats/base/smeanpn',
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'value': require( '@stdlib/stats/base/smeanpn' ),
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'path': '@stdlib/stats/strided/smeanpn',
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'value': require( '@stdlib/stats/strided/smeanpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dmeanpn',
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'related': [
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'@stdlib/stats/strided/dnanmeanpn',
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'@stdlib/stats/base/nanmeanpn',
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'@stdlib/stats/base/smeanpn',
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'@stdlib/stats/strided/smeanpn',
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'@stdlib/stats/base/snanmean'
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]
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});

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

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@@ -123,7 +123,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`smeankbn2( N, x, stride )`][@stdlib/stats/base/smeankbn2]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.</span>
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- <span class="signature">[`smeanlipw( N, x, stride )`][@stdlib/stats/base/smeanlipw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.</span>
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- <span class="signature">[`smeanors( N, x, stride )`][@stdlib/stats/base/smeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation.</span>
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- <span class="signature">[`smeanpn( N, x, strideX )`][@stdlib/stats/base/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <span class="signature">[`smeanpn( N, x, strideX )`][@stdlib/stats/strided/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</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">[`snanstdev( N, correction, x, stride )`][@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="signature">[`snanstdevch( N, correction, x, stride )`][@stdlib/stats/base/snanstdevch]</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 one-pass trial mean algorithm.</span>
@@ -335,7 +335,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/smeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanors
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[@stdlib/stats/base/smeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanpn
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[@stdlib/stats/strided/smeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanpn
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[@stdlib/stats/base/snanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmean
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‎lib/node_modules/@stdlib/stats/base/meanpn/README.md

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@@ -124,7 +124,7 @@ var v = meanpn.ndarray( 4, x, 2, 1 );
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- If `N <= 0`, both functions return `NaN`.
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- Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
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- Depending on the environment, the typed versions ([`dmeanpn`][@stdlib/stats/strided/dmeanpn], [`smeanpn`][@stdlib/stats/base/smeanpn], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dmeanpn`][@stdlib/stats/strided/dmeanpn], [`smeanpn`][@stdlib/stats/strided/smeanpn], etc.) are likely to be significantly more performant.
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</section>
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- <span class="package-name">[`@stdlib/stats/strided/dmeanpn`][@stdlib/stats/strided/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/mean`][@stdlib/stats/base/mean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanmeanpn`][@stdlib/stats/base/nanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a 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/smeanpn`][@stdlib/stats/base/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smeanpn`][@stdlib/stats/strided/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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</section>
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[@stdlib/stats/base/nanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanpn
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[@stdlib/stats/base/smeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanpn
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[@stdlib/stats/strided/smeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanpn
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/smean/lib/ndarray.js

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

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

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

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

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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/stats/base/smeanpn",
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"@stdlib/stats/strided/smeanpn",
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"@stdlib/napi/export",
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"@stdlib/napi/argv",
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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/stats/base/smeanpn"
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"@stdlib/stats/strided/smeanpn"
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]
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},
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{
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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/stats/base/smeanpn"
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"@stdlib/stats/strided/smeanpn"
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]
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},
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{
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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/stats/base/smeanpn"
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"@stdlib/stats/strided/smeanpn"
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]
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}
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]

‎lib/node_modules/@stdlib/stats/base/smean/src/main.c

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*/
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#include "stdlib/stats/base/smean.h"
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#include "stdlib/stats/base/smeanpn.h"
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#include "stdlib/stats/strided/smeanpn.h"
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#include "stdlib/blas/base/shared.h"
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#include "stdlib/strided/base/stride2offset.h"
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‎lib/node_modules/@stdlib/stats/strided/dmeanpn/README.md

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- <span class="package-name">[`@stdlib/stats/strided/dmean`][@stdlib/stats/strided/dmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array.</span>
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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/smeanpn`][@stdlib/stats/base/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smeanpn`][@stdlib/stats/strided/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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</section>
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[@stdlib/stats/base/meanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanpn
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[@stdlib/stats/base/smeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanpn
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[@stdlib/stats/strided/smeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanpn
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/dsmeanpn/README.md

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- <span class="package-name">[`@stdlib/stats/strided/dsmean`][@stdlib/stats/strided/dsmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean 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/strided/dsnanmeanpn`][@stdlib/stats/strided/dsnanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using a two-pass error correction algorithm with extended accumulation, and returning an extended precision result.</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/smeanpn`][@stdlib/stats/base/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smeanpn`][@stdlib/stats/strided/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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</section>
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[@stdlib/stats/base/meanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanpn
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[@stdlib/stats/base/smeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanpn
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[@stdlib/stats/strided/smeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanpn
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/snanmeanpn/README.md

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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/nanmeanpn`][@stdlib/stats/base/nanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a 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/smeanpn`][@stdlib/stats/base/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smeanpn`][@stdlib/stats/strided/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanmean`][@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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</section>
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[@stdlib/stats/base/nanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanpn
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[@stdlib/stats/base/smeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanpn
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[@stdlib/stats/strided/smeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanpn
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[@stdlib/stats/base/snanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmean
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