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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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@@ -2048,7 +2048,7 @@ ns.push({
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'@stdlib/stats/strided/dnanstdevwd',
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'@stdlib/stats/strided/dstdev',
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'@stdlib/stats/strided/dvariancewd',
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'@stdlib/stats/base/sstdevwd',
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'@stdlib/stats/strided/sstdevwd',
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'@stdlib/stats/strided/stdevwd'
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]
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});

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

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@@ -1275,7 +1275,7 @@ ns.push({
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'@stdlib/stats/strided/nanstdevwd',
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'@stdlib/stats/base/snanstdev',
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'@stdlib/stats/base/snanvariancewd',
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'@stdlib/stats/base/sstdevwd'
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'@stdlib/stats/strided/sstdevwd'
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]
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});
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@@ -1672,8 +1672,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.sstdevwd',
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'path': '@stdlib/stats/base/sstdevwd',
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'value': require( '@stdlib/stats/base/sstdevwd' ),
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'path': '@stdlib/stats/strided/sstdevwd',
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'value': require( '@stdlib/stats/strided/sstdevwd' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dstdevwd',
@@ -1852,7 +1852,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dstdevwd',
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'@stdlib/stats/strided/nanstdevwd',
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'@stdlib/stats/base/sstdevwd',
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'@stdlib/stats/strided/sstdevwd',
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'@stdlib/stats/strided/stdev',
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'@stdlib/stats/strided/variancewd'
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]
@@ -1955,7 +1955,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dvariancewd',
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'@stdlib/stats/base/snanvariancewd',
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'@stdlib/stats/base/sstdevwd',
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'@stdlib/stats/strided/sstdevwd',
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'@stdlib/stats/strided/svariance',
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'@stdlib/stats/strided/variancewd'
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]

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

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@@ -100,7 +100,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`snanvariancetk( N, correction, x, stride )`][@stdlib/stats/base/snanvariancetk]</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 textbook algorithm.</span>
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- <span class="signature">[`snanvariancewd( N, correction, x, stride )`][@stdlib/stats/base/snanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm.</span>
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- <span class="signature">[`snanvarianceyc( N, correction, x, stride )`][@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>
103-
- <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>
103+
- <span class="signature">[`sstdevwd( N, correction, x, stride )`][@stdlib/stats/strided/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/strided/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/strided/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/strided/stdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a two-pass algorithm.</span>
@@ -249,7 +249,7 @@ console.log( objectKeys( ns ) );
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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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252-
[@stdlib/stats/base/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevwd
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[@stdlib/stats/strided/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevwd
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[@stdlib/stats/strided/stdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdev
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‎lib/node_modules/@stdlib/stats/base/snanstdevwd/README.md‎

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@@ -247,7 +247,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/strided/nanstdevwd`][@stdlib/stats/strided/nanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanstdev`][@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="package-name">[`@stdlib/stats/base/snanvariancewd`][@stdlib/stats/base/snanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.</span>
250-
- <span class="package-name">[`@stdlib/stats/base/sstdevwd`][@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="package-name">[`@stdlib/stats/strided/sstdevwd`][@stdlib/stats/strided/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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</section>
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@@ -277,7 +277,7 @@ console.log( v );
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[@stdlib/stats/base/snanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariancewd
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[@stdlib/stats/base/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevwd
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[@stdlib/stats/strided/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevwd
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/dstdevwd/README.md‎

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@@ -352,7 +352,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dnanstdevwd`][@stdlib/stats/strided/dnanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dstdev`][@stdlib/stats/strided/dstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dvariancewd`][@stdlib/stats/strided/dvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using Welford's algorithm.</span>
355-
- <span class="package-name">[`@stdlib/stats/base/sstdevwd`][@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="package-name">[`@stdlib/stats/strided/sstdevwd`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/strided/stdevwd`][@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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</section>
@@ -381,7 +381,7 @@ int main( void ) {
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[@stdlib/stats/strided/dvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariancewd
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[@stdlib/stats/base/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevwd
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[@stdlib/stats/strided/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevwd
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[@stdlib/stats/strided/stdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdevwd
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‎lib/node_modules/@stdlib/stats/strided/stdevwd/README.md‎

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@@ -174,7 +174,7 @@ var v = stdevwd.ndarray( 4, 1, x, 2, 1 );
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- If `N <= 0`, both functions return `NaN`.
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- If `N - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment), both functions return `NaN`.
176176
- 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]).
177-
- Depending on the environment, the typed versions ([`dstdevwd`][@stdlib/stats/strided/dstdevwd], [`sstdevwd`][@stdlib/stats/base/sstdevwd], etc.) are likely to be significantly more performant.
177+
- Depending on the environment, the typed versions ([`dstdevwd`][@stdlib/stats/strided/dstdevwd], [`sstdevwd`][@stdlib/stats/strided/sstdevwd], etc.) are likely to be significantly more performant.
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</section>
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@@ -226,7 +226,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/strided/dstdevwd`][@stdlib/stats/strided/dstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/nanstdevwd`][@stdlib/stats/strided/nanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/sstdevwd`][@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="package-name">[`@stdlib/stats/strided/sstdevwd`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/strided/stdev`][@stdlib/stats/strided/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/strided/variancewd`][@stdlib/stats/strided/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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@@ -256,7 +256,7 @@ console.log( v );
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[@stdlib/stats/strided/nanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevwd
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[@stdlib/stats/base/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevwd
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[@stdlib/stats/strided/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevwd
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[@stdlib/stats/strided/stdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/stdev
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‎lib/node_modules/@stdlib/stats/strided/svariancewd/README.md‎

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@@ -351,7 +351,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dvariancewd`][@stdlib/stats/strided/dvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanvariancewd`][@stdlib/stats/base/snanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/sstdevwd`][@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="package-name">[`@stdlib/stats/strided/sstdevwd`][@stdlib/stats/strided/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="package-name">[`@stdlib/stats/strided/svariance`][@stdlib/stats/strided/svariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/variancewd`][@stdlib/stats/strided/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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@@ -379,7 +379,7 @@ int main( void ) {
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[@stdlib/stats/base/snanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariancewd
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[@stdlib/stats/base/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevwd
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[@stdlib/stats/strided/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdevwd
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[@stdlib/stats/strided/svariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariance
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