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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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@@ -2021,7 +2021,7 @@ ns.push({
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'@stdlib/stats/base/dstdevmpn',
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'@stdlib/stats/strided/dvariancepn',
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'@stdlib/stats/strided/sstdevpn',
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'@stdlib/stats/base/stdevpn'
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'@stdlib/stats/strided/stdevpn'
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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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@@ -271,7 +271,7 @@ ns.push({
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'@stdlib/stats/base/nanvariancepn',
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'@stdlib/stats/base/nanstdev',
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'@stdlib/stats/base/snanstdevpn',
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'@stdlib/stats/base/stdevpn'
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'@stdlib/stats/strided/stdevpn'
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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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@@ -1651,7 +1651,7 @@ ns.push({
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'@stdlib/stats/base/snanstdevpn',
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'@stdlib/stats/strided/sstdev',
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'@stdlib/stats/base/sstdevmpn',
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'@stdlib/stats/base/stdevpn',
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'@stdlib/stats/strided/stdevpn',
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'@stdlib/stats/strided/svariancepn'
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]
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});
@@ -1817,8 +1817,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.stdevpn',
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'path': '@stdlib/stats/base/stdevpn',
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'value': require( '@stdlib/stats/base/stdevpn' ),
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'path': '@stdlib/stats/strided/stdevpn',
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'value': require( '@stdlib/stats/strided/stdevpn' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dstdevpn',

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

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@@ -61,7 +61,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dvariancepn',
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'@stdlib/stats/base/nanvariancepn',
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'@stdlib/stats/base/stdevpn',
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'@stdlib/stats/strided/stdevpn',
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'@stdlib/stats/strided/variance',
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'@stdlib/stats/base/varmpn'
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]

‎lib/node_modules/@stdlib/stats/array/stdevpn/README.md

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@@ -33,7 +33,7 @@ The population [standard deviation][standard-deviation] of a finite size populat
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```
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<!-- <div class="equation" align="center" data-raw-text="\sigma = \sqrt{\frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2}" data-equation="eq:population_standard_deviation">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6634971a2b8c08a9bee55941686dd7c2cd7c3c16/lib/node_modules/@stdlib/stats/base/stdevpn/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6634971a2b8c08a9bee55941686dd7c2cd7c3c16/lib/node_modules/@stdlib/stats/strided/stdevpn/docs/img/equation_population_standard_deviation.svg" alt="Equation for the population standard deviation.">
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<br>
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</div> -->
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@@ -48,7 +48,7 @@ where the population mean is given by
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```
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<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6634971a2b8c08a9bee55941686dd7c2cd7c3c16/lib/node_modules/@stdlib/stats/base/stdevpn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6634971a2b8c08a9bee55941686dd7c2cd7c3c16/lib/node_modules/@stdlib/stats/strided/stdevpn/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
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<br>
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</div> -->
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```
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<!-- <div class="equation" align="center" data-raw-text="s = \sqrt{\frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2}" data-equation="eq:corrected_sample_standard_deviation">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6634971a2b8c08a9bee55941686dd7c2cd7c3c16/lib/node_modules/@stdlib/stats/base/stdevpn/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6634971a2b8c08a9bee55941686dd7c2cd7c3c16/lib/node_modules/@stdlib/stats/strided/stdevpn/docs/img/equation_corrected_sample_standard_deviation.svg" alt="Equation for computing a corrected sample standard deviation.">
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<br>
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</div> -->
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```
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<!-- <div class="equation" align="center" data-raw-text="\bar{x} = \frac{1}{n} \sum_{i=0}^{n-1} x_i" data-equation="eq:sample_mean">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6634971a2b8c08a9bee55941686dd7c2cd7c3c16/lib/node_modules/@stdlib/stats/base/stdevpn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
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<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@6634971a2b8c08a9bee55941686dd7c2cd7c3c16/lib/node_modules/@stdlib/stats/strided/stdevpn/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
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<br>
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</div> -->
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‎lib/node_modules/@stdlib/stats/array/stdevpn/lib/main.js

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@@ -26,7 +26,7 @@ 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/stdevpn' ).ndarray;
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var strided = require( '@stdlib/stats/strided/stdevpn' ).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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@@ -103,7 +103,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`sstdevwd( N, correction, x, stride )`][@stdlib/stats/base/sstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="signature">[`stdev( N, correction, x, strideX )`][@stdlib/stats/base/stdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array.</span>
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- <span class="signature">[`stdevch( N, correction, x, strideX )`][@stdlib/stats/base/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
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- <span class="signature">[`stdevpn( N, correction, x, strideX )`][@stdlib/stats/base/stdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a two-pass algorithm.</span>
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- <span class="signature">[`stdevpn( N, correction, x, strideX )`][@stdlib/stats/strided/stdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a two-pass algorithm.</span>
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- <span class="signature">[`stdevtk( N, correction, x, stride )`][@stdlib/stats/strided/stdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass textbook algorithm.</span>
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- <span class="signature">[`stdevwd( N, correction, x, stride )`][@stdlib/stats/strided/stdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using Welford's algorithm.</span>
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- <span class="signature">[`stdevyc( N, correction, x, stride )`][@stdlib/stats/strided/stdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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[@stdlib/stats/base/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevch
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[@stdlib/stats/base/stdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevpn
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[@stdlib/stats/strided/stdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevpn
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[@stdlib/stats/strided/stdevtk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevtk
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‎lib/node_modules/@stdlib/stats/base/nanstdevpn/README.md

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@@ -235,7 +235,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/nanvariancepn`][@stdlib/stats/base/nanvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using a two-pass algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanstdev`][@stdlib/stats/base/nanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanstdevpn`][@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>
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- <span class="package-name">[`@stdlib/stats/base/stdevpn`][@stdlib/stats/base/stdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a two-pass algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/stdevpn`][@stdlib/stats/strided/stdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a two-pass algorithm.</span>
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</section>
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[@stdlib/stats/base/snanstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdevpn
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[@stdlib/stats/base/stdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevpn
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[@stdlib/stats/strided/stdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevpn
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/stdev/lib/ndarray.js

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

‎lib/node_modules/@stdlib/stats/base/stdev/lib/stdev.js

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// MODULES //
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var stdevpn = require( '@stdlib/stats/base/stdevpn' );
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var stdevpn = require( '@stdlib/stats/strided/stdevpn' );
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// MAIN //

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