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refactor: update paths
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‎lib/node_modules/@stdlib/blas/ext/base/snansum/README.md‎

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@@ -285,7 +285,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/blas/ext/base/dnansum`][@stdlib/blas/ext/base/dnansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/gnansum`][@stdlib/blas/ext/base/gnansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements, ignoring NaN values.</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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- <span class="package-name">[`@stdlib/stats/strided/snanmean`][@stdlib/stats/strided/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="package-name">[`@stdlib/blas/ext/base/ssum`][@stdlib/blas/ext/base/ssum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements.</span>
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</section>
@@ -306,7 +306,7 @@ int main( void ) {
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[@stdlib/blas/ext/base/gnansum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/gnansum
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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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[@stdlib/stats/strided/snanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmean
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[@stdlib/blas/ext/base/ssum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/ssum
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js‎

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@@ -1025,7 +1025,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmean',
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'@stdlib/stats/strided/nanmean',
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'@stdlib/stats/base/snanmean'
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'@stdlib/stats/strided/snanmean'
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]
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});
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@@ -1754,7 +1754,7 @@ ns.push({
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'@stdlib/stats/strided/dsmean',
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'@stdlib/stats/strided/nanmean',
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'@stdlib/stats/base/sdsnanmean',
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'@stdlib/stats/base/snanmean'
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'@stdlib/stats/strided/snanmean'
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]
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});
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/n.js‎

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@@ -77,7 +77,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dnanmean',
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'@stdlib/stats/strided/mean',
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'@stdlib/stats/base/snanmean'
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'@stdlib/stats/strided/snanmean'
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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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@@ -432,7 +432,7 @@ ns.push({
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'@stdlib/stats/strided/dsnanmean',
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'@stdlib/stats/strided/nanmean',
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'@stdlib/stats/strided/sdsmean',
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'@stdlib/stats/base/snanmean'
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'@stdlib/stats/strided/snanmean'
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]
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});
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@@ -634,7 +634,7 @@ ns.push({
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'@stdlib/stats/strided/dsmean',
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'@stdlib/stats/strided/mean',
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'@stdlib/stats/strided/sdsmean',
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'@stdlib/stats/base/snanmean'
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'@stdlib/stats/strided/snanmean'
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]
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});
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ns.push({
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'alias': 'base.strided.snanmean',
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'path': '@stdlib/stats/base/snanmean',
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'value': require( '@stdlib/stats/base/snanmean' ),
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'path': '@stdlib/stats/strided/snanmean',
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'value': require( '@stdlib/stats/strided/snanmean' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanmean',
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'@stdlib/stats/strided/dnanmeanors',
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'@stdlib/stats/strided/nanmeanors',
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'@stdlib/stats/strided/smeanors',
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'@stdlib/stats/base/snanmean'
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'@stdlib/stats/strided/snanmean'
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]
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});
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'@stdlib/stats/strided/dnanmeanpn',
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'@stdlib/stats/strided/nanmeanpn',
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'@stdlib/stats/strided/smeanpn',
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'@stdlib/stats/base/snanmean'
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'@stdlib/stats/strided/snanmean'
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]
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});
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'@stdlib/stats/strided/dnanmeanwd',
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'@stdlib/stats/strided/nanmeanwd',
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'@stdlib/stats/strided/smeanwd',
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'@stdlib/stats/base/snanmean'
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'@stdlib/stats/strided/snanmean'
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]
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});
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'related': [
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'@stdlib/blas/ext/base/dnansum',
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'@stdlib/blas/ext/base/gnansum',
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'@stdlib/stats/base/snanmean',
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'@stdlib/stats/strided/snanmean',
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'@stdlib/blas/ext/base/ssum'
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]
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});

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

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@@ -87,7 +87,7 @@ The namespace contains the following statistical functions:
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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>
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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">[`snanmean( N, x, stride )`][@stdlib/stats/strided/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>
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- <span class="signature">[`snanstdevpn( N, correction, x, stride )`][@stdlib/stats/base/snanstdevpn]</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 two-pass algorithm.</span>
@@ -223,7 +223,7 @@ console.log( objectKeys( ns ) );
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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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[@stdlib/stats/strided/snanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmean
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[@stdlib/stats/base/snanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdev
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‎lib/node_modules/@stdlib/stats/base/ndarray/snanmean/lib/main.js‎

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var getStride = require( '@stdlib/ndarray/base/stride' );
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var getOffset = require( '@stdlib/ndarray/base/offset' );
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var getData = require( '@stdlib/ndarray/base/data-buffer' );
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var strided = require( '@stdlib/stats/base/snanmean' ).ndarray;
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var strided = require( '@stdlib/stats/strided/snanmean' ).ndarray;
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// MAIN //

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

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- <span class="package-name">[`@stdlib/stats/strided/dsnanmean`][@stdlib/stats/strided/dsnanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using extended accumulation, and returning an extended precision result.</span>
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- <span class="package-name">[`@stdlib/stats/strided/nanmean`][@stdlib/stats/strided/nanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sdsmean`][@stdlib/stats/strided/sdsmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.</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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- <span class="package-name">[`@stdlib/stats/strided/snanmean`][@stdlib/stats/strided/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/snanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmean
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[@stdlib/stats/strided/snanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmean
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/dnanmean/README.md‎

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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/nanmean`][@stdlib/stats/strided/nanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values.</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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- <span class="package-name">[`@stdlib/stats/strided/snanmean`][@stdlib/stats/strided/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/snanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmean
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/dsnanmean/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/nanmean`][@stdlib/stats/strided/nanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/sdsnanmean`][@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="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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- <span class="package-name">[`@stdlib/stats/strided/snanmean`][@stdlib/stats/strided/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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[@stdlib/stats/base/snanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmean
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[@stdlib/stats/strided/snanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmean
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/nanmean/README.md‎

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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 ([`dnanmean`][@stdlib/stats/strided/dnanmean], [`snanmean`][@stdlib/stats/base/snanmean], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dnanmean`][@stdlib/stats/strided/dnanmean], [`snanmean`][@stdlib/stats/strided/snanmean], etc.) are likely to be significantly more performant.
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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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- <span class="package-name">[`@stdlib/stats/strided/snanmean`][@stdlib/stats/strided/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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<!-- </related-links> -->
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