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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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@@ -556,7 +556,7 @@ ns.push({
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'@stdlib/stats/strided/dmean',
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'@stdlib/stats/strided/dnanmeanors',
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'@stdlib/stats/strided/meanors',
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'@stdlib/stats/base/smeanors'
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'@stdlib/stats/strided/smeanors'
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]
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});
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@@ -1698,7 +1698,7 @@ ns.push({
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'@stdlib/stats/strided/dsmean',
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'@stdlib/stats/strided/dsnanmeanors',
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'@stdlib/stats/strided/meanors',
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'@stdlib/stats/base/smeanors'
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'@stdlib/stats/strided/smeanors'
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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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@@ -160,7 +160,7 @@ ns.push({
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'@stdlib/stats/strided/dmeanors',
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'@stdlib/stats/strided/mean',
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'@stdlib/stats/strided/nanmeanors',
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'@stdlib/stats/base/smeanors'
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'@stdlib/stats/strided/smeanors'
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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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@@ -694,8 +694,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.smeanors',
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'path': '@stdlib/stats/base/smeanors',
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'value': require( '@stdlib/stats/base/smeanors' ),
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'path': '@stdlib/stats/strided/smeanors',
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'value': require( '@stdlib/stats/strided/smeanors' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dmeanors',
@@ -1094,7 +1094,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dnanmeanors',
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'@stdlib/stats/strided/nanmeanors',
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'@stdlib/stats/base/smeanors',
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'@stdlib/stats/strided/smeanors',
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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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@@ -86,7 +86,7 @@ The namespace contains the following statistical functions:
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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">[`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">[`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>
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- <span class="signature">[`snanstdevch( N, correction, x, stride )`][@stdlib/stats/base/snanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.</span>
@@ -221,7 +221,7 @@ console.log( objectKeys( ns ) );
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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/base/smeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanors
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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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[@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/dmeanors/README.md

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@@ -289,7 +289,7 @@ 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/dnanmeanors`][@stdlib/stats/strided/dnanmeanors]</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 ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/stats/strided/meanors`][@stdlib/stats/strided/meanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/stats/base/smeanors`][@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="package-name">[`@stdlib/stats/strided/smeanors`][@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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</section>
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[@stdlib/stats/strided/meanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/meanors
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[@stdlib/stats/base/smeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanors
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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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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/dsmeanors/README.md

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@@ -297,7 +297,7 @@ int main( void ) {
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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/dsnanmeanors`][@stdlib/stats/strided/dsnanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.</span>
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- <span class="package-name">[`@stdlib/stats/strided/meanors`][@stdlib/stats/strided/meanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/stats/base/smeanors`][@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="package-name">[`@stdlib/stats/strided/smeanors`][@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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</section>
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[@stdlib/stats/strided/meanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/meanors
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[@stdlib/stats/base/smeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanors
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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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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/meanors/README.md

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@@ -126,7 +126,7 @@ var v = meanors.ndarray( 4, x, 2, 1 );
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- If `N <= 0`, both functions return `NaN`.
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- Ordinary recursive summation (i.e., a "simple" sum) is performant, but can incur significant numerical error. If performance is paramount and error tolerated, using ordinary recursive summation to compute an arithmetic mean is acceptable; in all other cases, exercise due caution.
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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 ([`dmeanors`][@stdlib/stats/strided/dmeanors], [`smeanors`][@stdlib/stats/base/smeanors], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dmeanors`][@stdlib/stats/strided/dmeanors], [`smeanors`][@stdlib/stats/strided/smeanors], etc.) are likely to be significantly more performant.
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</section>
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- <span class="package-name">[`@stdlib/stats/strided/dmeanors`][@stdlib/stats/strided/dmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using ordinary recursive summation.</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/strided/nanmeanors`][@stdlib/stats/strided/nanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values and using ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/stats/base/smeanors`][@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="package-name">[`@stdlib/stats/strided/smeanors`][@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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</section>
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[@stdlib/stats/strided/nanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmeanors
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[@stdlib/stats/base/smeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanors
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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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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/snanmeanors/README.md

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- <span class="package-name">[`@stdlib/stats/strided/dnanmeanors`][@stdlib/stats/strided/dnanmeanors]</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 ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/stats/strided/nanmeanors`][@stdlib/stats/strided/nanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values and using ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/stats/base/smeanors`][@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="package-name">[`@stdlib/stats/strided/smeanors`][@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="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/strided/nanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmeanors
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[@stdlib/stats/base/smeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanors
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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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[@stdlib/stats/base/snanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmean
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