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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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@@ -656,7 +656,7 @@ ns.push({
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'@stdlib/stats/base/dmean',
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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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'@stdlib/stats/strided/smeanwd'
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]
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});
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@@ -1740,7 +1740,7 @@ ns.push({
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'@stdlib/stats/strided/dsmean',
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'@stdlib/stats/strided/dsnanmeanwd',
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'@stdlib/stats/base/meanwd',
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'@stdlib/stats/base/smeanwd'
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'@stdlib/stats/strided/smeanwd'
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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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@@ -199,7 +199,7 @@ ns.push({
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'@stdlib/stats/strided/dmeanwd',
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'@stdlib/stats/base/mean',
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'@stdlib/stats/base/nanmeanwd',
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'@stdlib/stats/base/smeanwd'
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'@stdlib/stats/strided/smeanwd'
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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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@@ -733,8 +733,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.smeanwd',
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'path': '@stdlib/stats/base/smeanwd',
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'value': require( '@stdlib/stats/base/smeanwd' ),
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'path': '@stdlib/stats/strided/smeanwd',
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'value': require( '@stdlib/stats/strided/smeanwd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dmeanwd',
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'related': [
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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/strided/smeanwd',
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'@stdlib/stats/base/snanmean'
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]
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});

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

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@@ -191,7 +191,7 @@ The namespace contains the following statistical functions:
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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/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">[`smeanwd( N, x, strideX )`][@stdlib/stats/strided/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>
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- <span class="signature">[`smin( N, x, strideX )`][@stdlib/stats/base/smin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array.</span>
@@ -567,7 +567,7 @@ console.log( objectKeys( ns ) );
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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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[@stdlib/stats/strided/smeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanwd
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[@stdlib/stats/base/smediansorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smediansorted
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‎lib/node_modules/@stdlib/stats/base/meanwd/README.md

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@@ -128,7 +128,7 @@ var v = meanwd.ndarray( 4, x, 2, 1 );
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- If `N <= 0`, both functions return `NaN`.
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- Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
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- Depending on the environment, the typed versions ([`dmeanwd`][@stdlib/stats/strided/dmeanwd], [`smeanwd`][@stdlib/stats/base/smeanwd], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dmeanwd`][@stdlib/stats/strided/dmeanwd], [`smeanwd`][@stdlib/stats/strided/smeanwd], etc.) are likely to be significantly more performant.
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</section>
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@@ -181,7 +181,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/strided/dmeanwd`][@stdlib/stats/strided/dmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.</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/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/strided/smeanwd`][@stdlib/stats/strided/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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</section>
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@@ -211,7 +211,7 @@ console.log( v );
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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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[@stdlib/stats/base/smeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanwd
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[@stdlib/stats/strided/smeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanwd
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/snanmeanwd/README.md

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@@ -312,7 +312,7 @@ int main( void ) {
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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/strided/smeanwd`][@stdlib/stats/strided/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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</section>
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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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[@stdlib/stats/base/smeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanwd
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[@stdlib/stats/strided/smeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanwd
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[@stdlib/stats/base/snanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmean
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‎lib/node_modules/@stdlib/stats/strided/dmeanwd/README.md

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@@ -302,7 +302,7 @@ 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/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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- <span class="package-name">[`@stdlib/stats/strided/smeanwd`][@stdlib/stats/strided/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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</section>
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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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[@stdlib/stats/base/smeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanwd
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[@stdlib/stats/strided/smeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanwd
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/dsmeanwd/README.md

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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/strided/dsnanmeanwd`][@stdlib/stats/strided/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="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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- <span class="package-name">[`@stdlib/stats/strided/smeanwd`][@stdlib/stats/strided/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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</section>
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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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[@stdlib/stats/base/smeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanwd
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[@stdlib/stats/strided/smeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanwd
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<!-- </related-links> -->
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