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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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@@ -2323,7 +2323,7 @@ ns.push({
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'@stdlib/stats/strided/dstdevyc',
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'@stdlib/stats/strided/dvariance',
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'@stdlib/stats/strided/svarianceyc',
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'@stdlib/stats/base/varianceyc'
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'@stdlib/stats/strided/varianceyc'
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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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@@ -396,7 +396,7 @@ ns.push({
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'@stdlib/stats/base/nanstdevyc',
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'@stdlib/stats/base/nanvariance',
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'@stdlib/stats/base/snanvarianceyc',
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'@stdlib/stats/base/varianceyc'
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'@stdlib/stats/strided/varianceyc'
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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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@@ -1868,7 +1868,7 @@ ns.push({
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'@stdlib/stats/base/nanstdevyc',
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'@stdlib/stats/strided/sstdevyc',
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'@stdlib/stats/base/stdev',
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'@stdlib/stats/base/varianceyc'
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'@stdlib/stats/strided/varianceyc'
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]
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});
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@@ -1971,7 +1971,7 @@ ns.push({
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'@stdlib/stats/base/snanvarianceyc',
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'@stdlib/stats/strided/sstdevyc',
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'@stdlib/stats/strided/svariance',
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'@stdlib/stats/base/varianceyc'
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'@stdlib/stats/strided/varianceyc'
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]
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});
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/v.js

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@@ -95,8 +95,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.varianceyc',
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'path': '@stdlib/stats/base/varianceyc',
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'value': require( '@stdlib/stats/base/varianceyc' ),
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'path': '@stdlib/stats/strided/varianceyc',
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'value': require( '@stdlib/stats/strided/varianceyc' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dvarianceyc',

‎lib/node_modules/@stdlib/stats/array/varianceyc/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/varianceyc' ).ndarray;
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var strided = require( '@stdlib/stats/strided/varianceyc' ).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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@@ -112,7 +112,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`variancepn( N, correction, x, strideX )`][@stdlib/stats/base/variancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a two-pass algorithm.</span>
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- <span class="signature">[`variancetk( N, correction, x, strideX )`][@stdlib/stats/base/variancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass textbook algorithm.</span>
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- <span class="signature">[`variancewd( N, correction, x, stride )`][@stdlib/stats/base/variancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using Welford's algorithm.</span>
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- <span class="signature">[`varianceyc( N, correction, x, strideX )`][@stdlib/stats/base/varianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="signature">[`varianceyc( N, correction, x, strideX )`][@stdlib/stats/strided/varianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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</div>
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[@stdlib/stats/base/variancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/variancewd
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[@stdlib/stats/base/varianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/varianceyc
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[@stdlib/stats/strided/varianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/varianceyc
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[@stdlib/stats/base/dists]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dists
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‎lib/node_modules/@stdlib/stats/base/nanvarianceyc/README.md

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@@ -234,7 +234,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/nanstdevyc`][@stdlib/stats/base/nanstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanvariance`][@stdlib/stats/base/nanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanvarianceyc`][@stdlib/stats/base/snanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/base/varianceyc`][@stdlib/stats/base/varianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/strided/varianceyc`][@stdlib/stats/strided/varianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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</section>
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[@stdlib/stats/base/snanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvarianceyc
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[@stdlib/stats/base/varianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/varianceyc
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[@stdlib/stats/strided/varianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/varianceyc
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/stdevyc/README.md

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@@ -241,7 +241,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/nanstdevyc`][@stdlib/stats/base/nanstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sstdevyc`][@stdlib/stats/strided/sstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/base/stdev`][@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="package-name">[`@stdlib/stats/base/varianceyc`][@stdlib/stats/base/varianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/strided/varianceyc`][@stdlib/stats/strided/varianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
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</section>
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[@stdlib/stats/base/stdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdev
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[@stdlib/stats/base/varianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/varianceyc
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[@stdlib/stats/strided/varianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/varianceyc
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/stdevyc/lib/ndarray.js

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// MODULES //
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var varianceyc = require( '@stdlib/stats/base/varianceyc' ).ndarray;
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var varianceyc = require( '@stdlib/stats/strided/varianceyc' ).ndarray;
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var sqrt = require( '@stdlib/math/base/special/sqrt' );
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‎lib/node_modules/@stdlib/stats/base/stdevyc/lib/stdevyc.js

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// MODULES //
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var varianceyc = require( '@stdlib/stats/base/varianceyc' );
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var varianceyc = require( '@stdlib/stats/strided/varianceyc' );
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var sqrt = require( '@stdlib/math/base/special/sqrt' );
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