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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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@@ -580,7 +580,7 @@ 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/dnanmeanpw',
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'@stdlib/stats/strided/dnanmeanpw',
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'@stdlib/stats/base/meanpw',
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'@stdlib/stats/base/smeanpw'
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]
@@ -1057,8 +1057,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.dnanmeanpw',
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'path': '@stdlib/stats/base/dnanmeanpw',
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'value': require( '@stdlib/stats/base/dnanmeanpw' ),
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'path': '@stdlib/stats/strided/dnanmeanpw',
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'value': require( '@stdlib/stats/strided/dnanmeanpw' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dmeanpw',

‎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">[`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">[`dnanmeanpw( N, x, strideX )`][@stdlib/stats/strided/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">[`dnanminabs( N, x, strideX )`][@stdlib/stats/base/dnanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a double-precision floating-point strided array, ignoring `NaN` values.</span>
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- <span class="signature">[`dnanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
@@ -327,7 +327,7 @@ 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/dnanmeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpw
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[@stdlib/stats/strided/dnanmeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanpw
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[@stdlib/stats/base/dnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanwd
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‎lib/node_modules/@stdlib/stats/strided/dmeanpw/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/dnanmeanpw`][@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="package-name">[`@stdlib/stats/strided/dnanmeanpw`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/base/meanpw`][@stdlib/stats/base/meanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using pairwise summation.</span>
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- <span class="package-name">[`@stdlib/stats/base/smeanpw`][@stdlib/stats/base/smeanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.</span>
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@@ -323,7 +323,7 @@ int main( void ) {
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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/dnanmeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpw
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[@stdlib/stats/strided/dnanmeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanpw
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[@stdlib/stats/base/meanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanpw
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