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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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@@ -1050,7 +1050,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmeanpn',
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'@stdlib/stats/strided/dnanmean',
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'@stdlib/stats/base/nanmeanpn',
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'@stdlib/stats/strided/nanmeanpn',
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'@stdlib/stats/strided/snanmeanpn'
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]
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});
@@ -1782,7 +1782,7 @@ ns.push({
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'@stdlib/stats/strided/dnanmeanpn',
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'@stdlib/stats/strided/dsmeanpn',
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'@stdlib/stats/strided/dsnanmean',
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'@stdlib/stats/base/nanmeanpn',
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'@stdlib/stats/strided/nanmeanpn',
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'@stdlib/stats/base/sdsnanmean',
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'@stdlib/stats/strided/snanmeanpn'
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]

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

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@@ -172,7 +172,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmeanpn',
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'@stdlib/stats/strided/mean',
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'@stdlib/stats/base/nanmeanpn',
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'@stdlib/stats/strided/nanmeanpn',
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'@stdlib/stats/strided/smeanpn'
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]
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});

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

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@@ -96,8 +96,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.nanmeanpn',
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'path': '@stdlib/stats/base/nanmeanpn',
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'value': require( '@stdlib/stats/base/nanmeanpn' ),
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'path': '@stdlib/stats/strided/nanmeanpn',
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'value': require( '@stdlib/stats/strided/nanmeanpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanmeanpn',

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

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@@ -1106,7 +1106,7 @@ ns.push({
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanmeanpn',
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'@stdlib/stats/base/nanmeanpn',
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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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]

‎lib/node_modules/@stdlib/stats/array/nanmeanpn/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/nanmeanpn' ).ndarray;
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var strided = require( '@stdlib/stats/strided/nanmeanpn' ).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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@@ -67,7 +67,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`dmeanvarpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/strided/dmeanvarpn]</span><span class="delimiter">: </span><span class="description">calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.</span>
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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/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="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">[`nanmeanpn( N, x, strideX )`][@stdlib/stats/strided/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/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>
@@ -191,7 +191,7 @@ console.log( objectKeys( ns ) );
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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/nanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanpn
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[@stdlib/stats/strided/nanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmeanpn
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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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‎lib/node_modules/@stdlib/stats/base/nanmean/lib/ndarray.js

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// MODULES //
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var nanmeanpn = require( '@stdlib/stats/base/nanmeanpn' ).ndarray;
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var nanmeanpn = require( '@stdlib/stats/strided/nanmeanpn' ).ndarray;
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// MAIN //

‎lib/node_modules/@stdlib/stats/strided/dnanmeanpn/README.md

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@@ -313,7 +313,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dmeanpn`][@stdlib/stats/strided/dmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction 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/nanmeanpn`][@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="package-name">[`@stdlib/stats/strided/nanmeanpn`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/strided/snanmeanpn`][@stdlib/stats/strided/snanmeanpn]</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 a two-pass error correction algorithm.</span>
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</section>
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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/nanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanpn
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[@stdlib/stats/strided/nanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmeanpn
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[@stdlib/stats/strided/snanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmeanpn
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‎lib/node_modules/@stdlib/stats/strided/dsnanmeanpn/README.md

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@@ -317,7 +317,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dnanmeanpn`][@stdlib/stats/strided/dnanmeanpn]</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 a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dsmeanpn`][@stdlib/stats/strided/dsmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction 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/nanmeanpn`][@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="package-name">[`@stdlib/stats/strided/nanmeanpn`][@stdlib/stats/strided/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="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/snanmeanpn`][@stdlib/stats/strided/snanmeanpn]</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 a two-pass error correction 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/nanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanpn
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[@stdlib/stats/strided/nanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmeanpn
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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/meanpn/README.md

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- <span class="package-name">[`@stdlib/stats/strided/dmeanpn`][@stdlib/stats/strided/dmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction 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/nanmeanpn`][@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="package-name">[`@stdlib/stats/strided/nanmeanpn`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/strided/smeanpn`][@stdlib/stats/strided/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction 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/nanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanpn
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[@stdlib/stats/strided/nanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmeanpn
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[@stdlib/stats/strided/smeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanpn
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