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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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@@ -582,7 +582,7 @@ ns.push({
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'@stdlib/stats/base/dmean',
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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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'@stdlib/stats/strided/smeanpw'
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]
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});
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@@ -1726,7 +1726,7 @@ ns.push({
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'@stdlib/stats/strided/dsmean',
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'@stdlib/stats/base/dsnanmeanpw',
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'@stdlib/stats/base/meanpw',
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'@stdlib/stats/base/smeanpw'
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'@stdlib/stats/strided/smeanpw'
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]
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});
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/m.js

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@@ -186,7 +186,7 @@ ns.push({
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'@stdlib/stats/strided/dmeanpw',
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'@stdlib/stats/base/mean',
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'@stdlib/stats/base/nanmeanpw',
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'@stdlib/stats/base/smeanpw'
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'@stdlib/stats/strided/smeanpw'
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]
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});
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js

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@@ -720,8 +720,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.smeanpw',
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'path': '@stdlib/stats/base/smeanpw',
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'value': require( '@stdlib/stats/base/smeanpw' ),
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'path': '@stdlib/stats/strided/smeanpw',
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'value': require( '@stdlib/stats/strided/smeanpw' ),
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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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@@ -190,7 +190,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`smeanlipw( N, x, stride )`][@stdlib/stats/base/smeanlipw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.</span>
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- <span class="signature">[`smeanors( N, x, stride )`][@stdlib/stats/base/smeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation.</span>
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- <span class="signature">[`smeanpn( N, x, stride )`][@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="signature">[`smeanpw( N, x, strideX )`][@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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- <span class="signature">[`smeanpw( N, x, strideX )`][@stdlib/stats/strided/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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- <span class="signature">[`smeanwd( N, x, strideX )`][@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="signature">[`smediansorted( N, x, strideX )`][@stdlib/stats/base/smediansorted]</span><span class="delimiter">: </span><span class="description">calculate the median value of a sorted single-precision floating-point strided array.</span>
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- <span class="signature">[`smidrange( N, x, strideX )`][@stdlib/stats/base/smidrange]</span><span class="delimiter">: </span><span class="description">calculate the mid-range of a single-precision floating-point strided array.</span>
@@ -565,7 +565,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/smeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanpn
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[@stdlib/stats/base/smeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanpw
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[@stdlib/stats/strided/smeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanpw
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[@stdlib/stats/base/smeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanwd
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‎lib/node_modules/@stdlib/stats/base/meanpw/README.md

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@@ -136,7 +136,7 @@ var v = meanpw.ndarray( N, x, 2, 1 );
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- If `N <= 0`, both functions return `NaN`.
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- In general, pairwise summation is more numerically stable than ordinary recursive summation (i.e., "simple" summation), with slightly worse performance. While not the most numerically stable summation technique (e.g., compensated summation techniques such as the Kahan–Babuška-Neumaier algorithm are generally more numerically stable), pairwise summation strikes a reasonable balance between numerical stability and performance. If either numerical stability or performance is more desirable for your use case, consider alternative summation techniques.
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- Depending on the environment, the typed versions ([`dmeanpw`][@stdlib/stats/strided/dmeanpw], [`smeanpw`][@stdlib/stats/base/smeanpw], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dmeanpw`][@stdlib/stats/strided/dmeanpw], [`smeanpw`][@stdlib/stats/strided/smeanpw], etc.) are likely to be significantly more performant.
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</section>
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@@ -193,7 +193,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/strided/dmeanpw`][@stdlib/stats/strided/dmeanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.</span>
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- <span class="package-name">[`@stdlib/stats/base/mean`][@stdlib/stats/base/mean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array.</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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- <span class="package-name">[`@stdlib/stats/strided/smeanpw`][@stdlib/stats/strided/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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</section>
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@@ -217,7 +217,7 @@ console.log( v );
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[@stdlib/stats/base/mean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/mean
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[@stdlib/stats/base/smeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanpw
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[@stdlib/stats/strided/smeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanpw
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/dmeanpw/README.md

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@@ -301,7 +301,7 @@ int main( void ) {
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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/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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- <span class="package-name">[`@stdlib/stats/strided/smeanpw`][@stdlib/stats/strided/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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</section>
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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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[@stdlib/stats/base/smeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanpw
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[@stdlib/stats/strided/smeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanpw
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/dsmeanpw/README.md

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@@ -302,7 +302,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dmeanpw`][@stdlib/stats/strided/dmeanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.</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/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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- <span class="package-name">[`@stdlib/stats/strided/smeanpw`][@stdlib/stats/strided/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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</section>
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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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[@stdlib/stats/base/smeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanpw
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[@stdlib/stats/strided/smeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanpw
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<!-- </related-links> -->
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