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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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@@ -1710,7 +1710,7 @@ ns.push({
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'related': [
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'@stdlib/stats/base/dmeanpn',
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'@stdlib/stats/strided/dsmean',
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'@stdlib/stats/base/dsnanmeanpn',
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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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]
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ns.push({
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'alias': 'base.strided.dsnanmeanpn',
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'path': '@stdlib/stats/base/dsnanmeanpn',
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'value': require( '@stdlib/stats/base/dsnanmeanpn' ),
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'path': '@stdlib/stats/strided/dsnanmeanpn',
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'value': require( '@stdlib/stats/strided/dsnanmeanpn' ),
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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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@@ -104,7 +104,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`dsmeanwd( N, x, strideX )`][@stdlib/stats/strided/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/strided/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="signature">[`dsnanmeanors( N, x, strideX )`][@stdlib/stats/strided/dsnanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.</span>
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- <span class="signature">[`dsnanmeanpn( N, x, strideX )`][@stdlib/stats/base/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="signature">[`dsnanmeanpn( N, x, strideX )`][@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="signature">[`dsnanmeanwd( N, x, strideX )`][@stdlib/stats/base/dsnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using Welford's algorithm with extended accumulation, and returning an extended precision result.</span>
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- <span class="signature">[`dstdev( N, correction, x, stride )`][@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="signature">[`dstdevch( N, correction, x, strideX )`][@stdlib/stats/base/dstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
@@ -393,7 +393,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/strided/dsnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsnanmeanors
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[@stdlib/stats/base/dsnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsnanmeanpn
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[@stdlib/stats/strided/dsnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsnanmeanpn
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[@stdlib/stats/base/dsnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsnanmeanwd
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‎lib/node_modules/@stdlib/stats/strided/dsmeanpn/README.md‎

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@@ -301,7 +301,7 @@ int main( void ) {
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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/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/base/dsnanmeanpn`][@stdlib/stats/base/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/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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[@stdlib/stats/strided/dsmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsmean
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[@stdlib/stats/base/dsnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsnanmeanpn
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[@stdlib/stats/strided/dsnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsnanmeanpn
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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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‎lib/node_modules/@stdlib/stats/strided/dsnanmean/lib/ndarray.js‎

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

‎lib/node_modules/@stdlib/stats/strided/dsnanmean/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/dsnanmeanpn",
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"@stdlib/stats/strided/dsnanmeanpn",
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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/dsnanmeanpn"
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"@stdlib/stats/strided/dsnanmeanpn"
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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/dsnanmeanpn"
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"@stdlib/stats/strided/dsnanmeanpn"
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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/dsnanmeanpn"
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"@stdlib/stats/strided/dsnanmeanpn"
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]
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}
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]

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

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*/
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#include "stdlib/stats/strided/dsnanmean.h"
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#include "stdlib/stats/base/dsnanmeanpn.h"
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#include "stdlib/stats/strided/dsnanmeanpn.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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