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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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@@ -543,7 +543,7 @@ ns.push({
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'@stdlib/stats/strided/dmeanpw',
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'@stdlib/stats/base/dnanmeanlipw',
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'@stdlib/stats/base/meanlipw',
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'@stdlib/stats/base/smeanlipw'
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'@stdlib/stats/strided/smeanlipw'
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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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@@ -673,15 +673,15 @@ ns.push({
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'@stdlib/stats/strided/dmeanli',
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'@stdlib/stats/base/meanli',
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'@stdlib/stats/strided/smean',
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'@stdlib/stats/base/smeanlipw',
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'@stdlib/stats/strided/smeanlipw',
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'@stdlib/stats/base/snanmeanli'
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]
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});
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ns.push({
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'alias': 'base.strided.smeanlipw',
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'path': '@stdlib/stats/base/smeanlipw',
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'value': require( '@stdlib/stats/base/smeanlipw' ),
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'path': '@stdlib/stats/strided/smeanlipw',
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'value': require( '@stdlib/stats/strided/smeanlipw' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dmeanlipw',

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

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@@ -85,7 +85,7 @@ The namespace contains the following statistical functions:
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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">[`smeankbn2( N, x, stride )`][@stdlib/stats/base/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/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">[`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>
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- <span class="signature">[`snanmean( N, x, stride )`][@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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- <span class="signature">[`snanstdev( N, correction, x, stride )`][@stdlib/stats/base/snanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values.</span>
@@ -219,7 +219,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/smeankbn2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeankbn2
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[@stdlib/stats/base/smeanlipw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanlipw
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[@stdlib/stats/strided/smeanlipw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanlipw
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[@stdlib/stats/strided/smeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanors
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‎lib/node_modules/@stdlib/stats/strided/dmeanlipw/README.md‎

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@@ -288,7 +288,7 @@ 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/dmeanli`][@stdlib/stats/strided/dmeanli]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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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/smeanlipw`][@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="package-name">[`@stdlib/stats/strided/smeanlipw`][@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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</section>
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[@stdlib/stats/strided/dmeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmeanpw
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[@stdlib/stats/base/smeanlipw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanlipw
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[@stdlib/stats/strided/smeanlipw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanlipw
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/smeanli/README.md‎

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