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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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@@ -1704,8 +1704,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.dsmeanpn',
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'path': '@stdlib/stats/base/dsmeanpn',
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'value': require( '@stdlib/stats/base/dsmeanpn' ),
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'path': '@stdlib/stats/strided/dsmeanpn',
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'value': require( '@stdlib/stats/strided/dsmeanpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dmeanpn',
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanmeanpn',
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'@stdlib/stats/base/dsmeanpn',
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'@stdlib/stats/strided/dsmeanpn',
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'@stdlib/stats/base/dsnanmean',
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'@stdlib/stats/base/nanmeanpn',
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'@stdlib/stats/base/sdsnanmean',

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

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@@ -99,7 +99,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`dsemyc( N, correction, x, strideX )`][@stdlib/stats/strided/dsemyc]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="signature">[`dsmean( N, x, strideX )`][@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="signature">[`dsmeanors( N, x, strideX )`][@stdlib/stats/base/dsmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.</span>
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- <span class="signature">[`dsmeanpn( N, x, strideX )`][@stdlib/stats/base/dsmeanpn]</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 with extended accumulation and returning an extended precision result.</span>
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- <span class="signature">[`dsmeanpn( N, x, strideX )`][@stdlib/stats/strided/dsmeanpn]</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 with extended accumulation and returning an extended precision result.</span>
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- <span class="signature">[`dsmeanpw( N, x, strideX )`][@stdlib/stats/base/dsmeanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.</span>
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- <span class="signature">[`dsmeanwd( N, x, strideX )`][@stdlib/stats/base/dsmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.</span>
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- <span class="signature">[`dsnanmean( N, x, strideX )`][@stdlib/stats/base/dsnanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using extended accumulation, and returning an extended precision result.</span>
@@ -383,7 +383,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/dsmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsmeanors
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[@stdlib/stats/base/dsmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsmeanpn
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[@stdlib/stats/strided/dsmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsmeanpn
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[@stdlib/stats/base/dsmeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsmeanpw
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‎lib/node_modules/@stdlib/stats/base/dsnanmeanpn/README.md‎

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## See Also
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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/dsmeanpn`][@stdlib/stats/base/dsmeanpn]</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 with extended accumulation and returning an extended precision result.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dsmeanpn`][@stdlib/stats/strided/dsmeanpn]</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 with extended accumulation and returning an extended precision result.</span>
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- <span class="package-name">[`@stdlib/stats/base/dsnanmean`][@stdlib/stats/base/dsnanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using extended accumulation, and returning an extended precision result.</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/sdsnanmean`][@stdlib/stats/base/sdsnanmean]</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 extended accumulation.</span>
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[@stdlib/stats/strided/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanpn
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[@stdlib/stats/base/dsmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsmeanpn
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[@stdlib/stats/strided/dsmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsmeanpn
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[@stdlib/stats/base/dsnanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsnanmean
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‎lib/node_modules/@stdlib/stats/strided/dsmean/lib/ndarray.js‎

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

‎lib/node_modules/@stdlib/stats/strided/dsmean/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/dsmeanpn",
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"@stdlib/stats/strided/dsmeanpn",
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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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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/stats/base/dsmeanpn"
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"@stdlib/stats/strided/dsmeanpn"
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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/dsmeanpn"
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"@stdlib/stats/strided/dsmeanpn"
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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/dsmeanpn"
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"@stdlib/stats/strided/dsmeanpn"
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]
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}
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]

‎lib/node_modules/@stdlib/stats/strided/dsmean/src/main.c‎

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*/
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#include "stdlib/stats/strided/dsmean.h"
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#include "stdlib/stats/base/dsmeanpn.h"
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#include "stdlib/stats/strided/dsmeanpn.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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