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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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@@ -501,7 +501,7 @@ ns.push({
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'@stdlib/stats/strided/dmean',
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'@stdlib/stats/base/dnanmeankbn',
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'@stdlib/stats/strided/meankbn',
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'@stdlib/stats/base/smeankbn'
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'@stdlib/stats/strided/smeankbn'
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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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@@ -134,7 +134,7 @@ ns.push({
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'@stdlib/stats/strided/dmeankbn',
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'@stdlib/stats/strided/mean',
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'@stdlib/stats/base/nanmeankbn',
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'@stdlib/stats/base/smeankbn'
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'@stdlib/stats/strided/smeankbn'
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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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@@ -640,8 +640,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.smeankbn',
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'path': '@stdlib/stats/base/smeankbn',
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'value': require( '@stdlib/stats/base/smeankbn' ),
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'path': '@stdlib/stats/strided/smeankbn',
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'value': require( '@stdlib/stats/strided/smeankbn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dmeankbn',

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

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@@ -83,7 +83,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`range( N, x, strideX )`][@stdlib/stats/base/range]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array.</span>
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- <span class="signature">[`sdsnanmean( N, x, stride )`][@stdlib/stats/base/sdsnanmean]</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 extended accumulation.</span>
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- <span class="signature">[`sdsnanmeanors( N, x, stride )`][@stdlib/stats/base/sdsnanmeanors]</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 ordinary recursive summation with extended accumulation.</span>
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- <span class="signature">[`smeankbn( N, x, stride )`][@stdlib/stats/base/smeankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.</span>
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- <span class="signature">[`smeankbn( N, x, stride )`][@stdlib/stats/strided/smeankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.</span>
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- <span class="signature">[`smeankbn2( N, x, stride )`][@stdlib/stats/strided/smeankbn2]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.</span>
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- <span class="signature">[`smeanlipw( N, x, stride )`][@stdlib/stats/strided/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/strided/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>
@@ -215,7 +215,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/sdsnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sdsnanmeanors
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[@stdlib/stats/base/smeankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeankbn
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[@stdlib/stats/strided/smeankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeankbn
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[@stdlib/stats/strided/smeankbn2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeankbn2
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‎lib/node_modules/@stdlib/stats/strided/dmeankbn/README.md‎

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@@ -299,7 +299,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dmean`][@stdlib/stats/strided/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/meankbn`][@stdlib/stats/strided/meankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/smeankbn`][@stdlib/stats/base/smeankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smeankbn`][@stdlib/stats/strided/smeankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.</span>
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</section>
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[@stdlib/stats/strided/meankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/meankbn
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[@stdlib/stats/base/smeankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeankbn
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[@stdlib/stats/strided/smeankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeankbn
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/meankbn/README.md‎

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@@ -125,7 +125,7 @@ var v = meankbn.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 ([`dmeankbn`][@stdlib/stats/strided/dmeankbn], [`smeankbn`][@stdlib/stats/base/smeankbn], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dmeankbn`][@stdlib/stats/strided/dmeankbn], [`smeankbn`][@stdlib/stats/strided/smeankbn], etc.) are likely to be significantly more performant.
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</section>
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- <span class="package-name">[`@stdlib/stats/strided/dmeankbn`][@stdlib/stats/strided/dmeankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using an improved Kahan–Babuška algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/mean`][@stdlib/stats/strided/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/smeankbn`][@stdlib/stats/base/smeankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smeankbn`][@stdlib/stats/strided/smeankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.</span>
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</section>
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[@stdlib/stats/strided/mean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/mean
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[@stdlib/stats/base/smeankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeankbn
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[@stdlib/stats/strided/smeankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeankbn
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<!-- </related-links> -->
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