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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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@@ -654,7 +654,7 @@ 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/dnanmeanwd',
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'@stdlib/stats/strided/dnanmeanwd',
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'@stdlib/stats/base/meanwd',
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'@stdlib/stats/base/smeanwd'
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]
@@ -1070,8 +1070,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.dnanmeanwd',
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'path': '@stdlib/stats/base/dnanmeanwd',
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'value': require( '@stdlib/stats/base/dnanmeanwd' ),
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'path': '@stdlib/stats/strided/dnanmeanwd',
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'value': require( '@stdlib/stats/strided/dnanmeanwd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dmeanwd',
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'value': require( '@stdlib/stats/base/dsnanmeanwd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanmeanwd',
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'@stdlib/stats/strided/dnanmeanwd',
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'@stdlib/stats/base/dsmeanwd',
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'@stdlib/stats/base/dsnanmean',
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'@stdlib/stats/base/nanmeanwd',

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

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@@ -113,7 +113,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/nanmeanwd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanmeanwd',
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'@stdlib/stats/strided/dnanmeanwd',
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'@stdlib/stats/base/meanwd',
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'@stdlib/stats/base/nanmean',
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'@stdlib/stats/base/snanmeanwd'

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

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@@ -1118,7 +1118,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/snanmeanwd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanmeanwd',
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'@stdlib/stats/strided/dnanmeanwd',
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'@stdlib/stats/base/nanmeanwd',
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'@stdlib/stats/base/smeanwd',
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'@stdlib/stats/base/snanmean'

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

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@@ -72,7 +72,7 @@ The namespace contains the following statistical functions:
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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/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">[`dnanmeanwd( N, x, strideX )`][@stdlib/stats/strided/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>
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- <span class="signature">[`dnanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
@@ -329,7 +329,7 @@ console.log( objectKeys( ns ) );
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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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[@stdlib/stats/strided/dnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanwd
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[@stdlib/stats/base/dnanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanminabs
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‎lib/node_modules/@stdlib/stats/base/dsnanmeanwd/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/dnanmeanwd`][@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="package-name">[`@stdlib/stats/strided/dnanmeanwd`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/base/dsmeanwd`][@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="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/nanmeanwd`][@stdlib/stats/base/nanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values and using Welford's algorithm.</span>
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<!-- <related-links> -->
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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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[@stdlib/stats/strided/dnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanwd
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[@stdlib/stats/base/dsmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dsmeanwd
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‎lib/node_modules/@stdlib/stats/base/nanmeanwd/README.md‎

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@@ -136,7 +136,7 @@ var v = nanmeanwd.ndarray( N, x, 2, 1 );
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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 ([`dnanmeanwd`][@stdlib/stats/base/dnanmeanwd], [`snanmeanwd`][@stdlib/stats/base/snanmeanwd], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dnanmeanwd`][@stdlib/stats/strided/dnanmeanwd], [`snanmeanwd`][@stdlib/stats/base/snanmeanwd], etc.) are likely to be significantly more performant.
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</section>
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@@ -196,7 +196,7 @@ console.log( v );
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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dnanmeanwd`][@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="package-name">[`@stdlib/stats/strided/dnanmeanwd`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/base/meanwd`][@stdlib/stats/base/meanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using Welford's 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/snanmeanwd`][@stdlib/stats/base/snanmeanwd]</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 Welford's algorithm.</span>
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<!-- <related-links> -->
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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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[@stdlib/stats/strided/dnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanwd
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[@stdlib/stats/base/meanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanwd
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‎lib/node_modules/@stdlib/stats/base/snanmeanwd/README.md‎

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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dnanmeanwd`][@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="package-name">[`@stdlib/stats/strided/dnanmeanwd`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/base/nanmeanwd`][@stdlib/stats/base/nanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/smeanwd`][@stdlib/stats/base/smeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's 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/dnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanwd
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[@stdlib/stats/strided/dnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanwd
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[@stdlib/stats/base/nanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanwd
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‎lib/node_modules/@stdlib/stats/strided/dmeanwd/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/dnanmeanwd`][@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="package-name">[`@stdlib/stats/strided/dnanmeanwd`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/base/meanwd`][@stdlib/stats/base/meanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/smeanwd`][@stdlib/stats/base/smeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.</span>
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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/dnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanwd
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[@stdlib/stats/strided/dnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanwd
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[@stdlib/stats/base/meanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanwd
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