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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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@@ -1076,7 +1076,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmeanwd',
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'@stdlib/stats/strided/dnanmean',
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'@stdlib/stats/base/nanmeanwd',
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'@stdlib/stats/strided/nanmeanwd',
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'@stdlib/stats/strided/snanmeanwd'
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]
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});
@@ -1797,7 +1797,7 @@ ns.push({
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'@stdlib/stats/strided/dnanmeanwd',
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'@stdlib/stats/strided/dsmeanwd',
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'@stdlib/stats/strided/dsnanmean',
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'@stdlib/stats/base/nanmeanwd',
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'@stdlib/stats/strided/nanmeanwd',
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'@stdlib/stats/base/sdsnanmean',
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'@stdlib/stats/strided/snanmeanwd'
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]

‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/m.js‎

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@@ -198,7 +198,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmeanwd',
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'@stdlib/stats/strided/mean',
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'@stdlib/stats/base/nanmeanwd',
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'@stdlib/stats/strided/nanmeanwd',
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'@stdlib/stats/strided/smeanwd'
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]
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});

‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/n.js‎

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@@ -109,8 +109,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.nanmeanwd',
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'path': '@stdlib/stats/base/nanmeanwd',
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'value': require( '@stdlib/stats/base/nanmeanwd' ),
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'path': '@stdlib/stats/strided/nanmeanwd',
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'value': require( '@stdlib/stats/strided/nanmeanwd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanmeanwd',

‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js‎

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@@ -1119,7 +1119,7 @@ ns.push({
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'type': 'Function',
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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/strided/nanmeanwd',
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'@stdlib/stats/strided/smeanwd',
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'@stdlib/stats/base/snanmean'
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]

‎lib/node_modules/@stdlib/stats/array/nanmeanwd/lib/main.js‎

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@@ -25,7 +25,7 @@ var dtypes = require( '@stdlib/array/dtypes' );
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var dtype = require( '@stdlib/array/dtype' );
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var contains = require( '@stdlib/array/base/assert/contains' );
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var join = require( '@stdlib/array/base/join' );
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var strided = require( '@stdlib/stats/base/nanmeanwd' ).ndarray;
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var strided = require( '@stdlib/stats/strided/nanmeanwd' ).ndarray;
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var format = require( '@stdlib/string/format' );
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‎lib/node_modules/@stdlib/stats/base/README.md‎

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@@ -68,7 +68,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`nanmean( N, x, strideX )`][@stdlib/stats/base/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="signature">[`nanmeanors( N, x, strideX )`][@stdlib/stats/base/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="signature">[`nanmeanpn( N, x, strideX )`][@stdlib/stats/base/nanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values and using a two-pass error correction algorithm.</span>
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- <span class="signature">[`nanmeanwd( N, x, strideX )`][@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="signature">[`nanmeanwd( N, x, strideX )`][@stdlib/stats/strided/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="signature">[`nanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/nanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array according to a mask, ignoring `NaN` values.</span>
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- <span class="signature">[`nanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/nanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array according to a mask, ignoring `NaN` values.</span>
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- <span class="signature">[`nanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/nanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array according to a mask, ignoring `NaN` values.</span>
@@ -193,7 +193,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/nanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanpn
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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/strided/nanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmeanwd
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[@stdlib/stats/base/nanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmskmax
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‎lib/node_modules/@stdlib/stats/strided/dnanmeanwd/README.md‎

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@@ -315,7 +315,7 @@ int main( void ) {
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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/strided/dnanmean`][@stdlib/stats/strided/dnanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, 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/strided/nanmeanwd`][@stdlib/stats/strided/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/strided/snanmeanwd`][@stdlib/stats/strided/snanmeanwd]</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 Welford's algorithm.</span>
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</section>
@@ -342,7 +342,7 @@ int main( void ) {
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[@stdlib/stats/strided/dnanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmean
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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/strided/nanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmeanwd
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[@stdlib/stats/strided/snanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmeanwd
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‎lib/node_modules/@stdlib/stats/strided/dsnanmeanwd/README.md‎

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@@ -317,7 +317,7 @@ 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/strided/dsmeanwd`][@stdlib/stats/strided/dsmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.</span>
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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/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/strided/nanmeanwd`][@stdlib/stats/strided/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/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/strided/snanmeanwd`][@stdlib/stats/strided/snanmeanwd]</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 Welford's algorithm.</span>
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[@stdlib/stats/strided/dsnanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dsnanmean
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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/strided/nanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmeanwd
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[@stdlib/stats/base/sdsnanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sdsnanmean
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‎lib/node_modules/@stdlib/stats/strided/meanwd/README.md‎

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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/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/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/strided/nanmeanwd`][@stdlib/stats/strided/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/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/strided/mean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/mean
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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/strided/nanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmeanwd
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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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‎lib/node_modules/@stdlib/stats/strided/snanmeanwd/README.md‎

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## See Also
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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/strided/nanmeanwd`][@stdlib/stats/strided/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/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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[@stdlib/stats/strided/dnanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanwd
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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/strided/nanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmeanwd
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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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