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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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@@ -567,7 +567,7 @@ ns.push({
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dmean',
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'@stdlib/stats/base/dnanmeanpn',
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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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]
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ns.push({
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'alias': 'base.strided.dnanmeanpn',
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'path': '@stdlib/stats/base/dnanmeanpn',
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'value': require( '@stdlib/stats/base/dnanmeanpn' ),
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'path': '@stdlib/stats/strided/dnanmeanpn',
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'value': require( '@stdlib/stats/strided/dnanmeanpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dmeanpn',
@@ -1779,7 +1779,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/dsnanmeanpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanmeanpn',
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'@stdlib/stats/strided/dnanmeanpn',
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'@stdlib/stats/base/dsmeanpn',
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'@stdlib/stats/base/dsnanmean',
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'@stdlib/stats/base/nanmeanpn',

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

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@@ -100,7 +100,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/nanmeanpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanmeanpn',
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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'

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

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@@ -1105,7 +1105,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/snanmeanpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanmeanpn',
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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/base/snanmean'

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

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@@ -71,7 +71,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`dmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array according to a mask.</span>
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- <span class="signature">[`dmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array according to a mask.</span>
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- <span class="signature">[`dmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array according to a mask.</span>
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- <span class="signature">[`dnanmeanpn( N, x, strideX )`][@stdlib/stats/base/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="signature">[`dnanmeanpn( N, x, strideX )`][@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="signature">[`dnanmeanpw( N, x, strideX )`][@stdlib/stats/base/dnanmeanpw]</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 pairwise summation.</span>
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- <span class="signature">[`dnanmeanwd( N, x, strideX )`][@stdlib/stats/base/dnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values.</span>
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- <span class="signature">[`dnanmin( N, x, strideX )`][@stdlib/stats/base/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values.</span>
@@ -329,7 +329,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/dmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmskrange
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[@stdlib/stats/base/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpn
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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/dnanmeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpw
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‎lib/node_modules/@stdlib/stats/base/dmeanpn/README.md‎

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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dmean`][@stdlib/stats/base/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/base/dnanmeanpn`][@stdlib/stats/base/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/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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@@ -223,7 +223,7 @@ console.log( v );
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[@stdlib/stats/base/dmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmean
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[@stdlib/stats/base/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpn
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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/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/base/dsnanmeanpn/README.md‎

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@@ -314,7 +314,7 @@ int main( void ) {
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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dnanmeanpn`][@stdlib/stats/base/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/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/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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<!-- <related-links> -->
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[@stdlib/stats/base/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpn
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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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‎lib/node_modules/@stdlib/stats/base/nanmeanpn/README.md‎

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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/base/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/base/snanmeanpn], 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/dnanmeanpn`][@stdlib/stats/base/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/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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<!-- <related-links> -->
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[@stdlib/stats/base/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpn
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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/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/base/snanmeanpn/README.md‎

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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dnanmeanpn`][@stdlib/stats/base/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/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/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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<!-- <related-links> -->
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[@stdlib/stats/base/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpn
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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/nanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanpn
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‎lib/node_modules/@stdlib/stats/strided/dnanmean/lib/ndarray.js‎

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

‎lib/node_modules/@stdlib/stats/strided/dnanmean/manifest.json‎

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"dependencies": [
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"@stdlib/stats/base/dnanmeanpn",
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"@stdlib/stats/strided/dnanmeanpn",
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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/dnanmeanpn"
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"@stdlib/stats/strided/dnanmeanpn"
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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/dnanmeanpn"
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"@stdlib/stats/strided/dnanmeanpn"
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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/dnanmeanpn"
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"@stdlib/stats/strided/dnanmeanpn"
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}
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