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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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@@ -1318,7 +1318,7 @@ ns.push({
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanstdev',
1321-
'@stdlib/stats/base/dnanvarianceyc',
1321+
'@stdlib/stats/strided/dnanvarianceyc',
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'@stdlib/stats/base/dstdevyc',
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'@stdlib/stats/base/nanstdevyc',
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'@stdlib/stats/base/snanstdevyc'
@@ -1466,8 +1466,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.dnanvarianceyc',
1469-
'path': '@stdlib/stats/base/dnanvarianceyc',
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'value': require( '@stdlib/stats/base/dnanvarianceyc' ),
1469+
'path': '@stdlib/stats/strided/dnanvarianceyc',
1470+
'value': require( '@stdlib/stats/strided/dnanvarianceyc' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dvarianceyc',
@@ -2319,7 +2319,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/dvarianceyc' ),
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'type': 'Function',
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'related': [
2322-
'@stdlib/stats/base/dnanvarianceyc',
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'@stdlib/stats/strided/dnanvarianceyc',
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'@stdlib/stats/base/dstdevyc',
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'@stdlib/stats/base/dvariance',
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'@stdlib/stats/base/svarianceyc',

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

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@@ -392,7 +392,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/nanvarianceyc' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanvarianceyc',
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'@stdlib/stats/strided/dnanvarianceyc',
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'@stdlib/stats/base/nanstdevyc',
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'@stdlib/stats/base/nanvariance',
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'@stdlib/stats/base/snanvarianceyc',

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

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@@ -1444,7 +1444,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/snanvarianceyc' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanvarianceyc',
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'@stdlib/stats/strided/dnanvarianceyc',
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'@stdlib/stats/base/nanvarianceyc',
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'@stdlib/stats/base/snanstdevyc',
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'@stdlib/stats/base/snanvariance',

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

+2-2
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@@ -89,7 +89,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`dnanvariancepn( N, correction, x, strideX )`][@stdlib/stats/strided/dnanvariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a two-pass algorithm.</span>
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- <span class="signature">[`dnanvariancetk( N, correction, x, strideX )`][@stdlib/stats/strided/dnanvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm.</span>
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- <span class="signature">[`dnanvariancewd( N, correction, x, strideX )`][@stdlib/stats/strided/dnanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm.</span>
92-
- <span class="signature">[`dnanvarianceyc( N, correction, x, strideX )`][@stdlib/stats/base/dnanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
92+
- <span class="signature">[`dnanvarianceyc( N, correction, x, strideX )`][@stdlib/stats/strided/dnanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-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="signature">[`drange( N, x, strideX )`][@stdlib/stats/base/drange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array.</span>
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- <span class="signature">[`dsem( N, correction, x, stride )`][@stdlib/stats/base/dsem]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array.</span>
9595
- <span class="signature">[`dsemch( N, correction, x, strideX )`][@stdlib/stats/base/dsemch]</span><span class="delimiter">: </span><span class="description">calculate the standard error of the mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
@@ -363,7 +363,7 @@ console.log( objectKeys( ns ) );
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364364
[@stdlib/stats/strided/dnanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariancewd
365365

366-
[@stdlib/stats/base/dnanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvarianceyc
366+
[@stdlib/stats/strided/dnanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvarianceyc
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368368
[@stdlib/stats/base/drange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/drange
369369

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

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@@ -348,7 +348,7 @@ int main( void ) {
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349349
## See Also
350350
351-
- <span class="package-name">[`@stdlib/stats/base/dnanvarianceyc`][@stdlib/stats/base/dnanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
351+
- <span class="package-name">[`@stdlib/stats/strided/dnanvarianceyc`][@stdlib/stats/strided/dnanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
352352
- <span class="package-name">[`@stdlib/stats/base/dstdevyc`][@stdlib/stats/base/dstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
353353
- <span class="package-name">[`@stdlib/stats/base/dvariance`][@stdlib/stats/base/dvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array.</span>
354354
- <span class="package-name">[`@stdlib/stats/base/svarianceyc`][@stdlib/stats/base/svarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
@@ -372,7 +372,7 @@ int main( void ) {
372372
373373
<!-- <related-links> -->
374374
375-
[@stdlib/stats/base/dnanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvarianceyc
375+
[@stdlib/stats/strided/dnanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvarianceyc
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377377
[@stdlib/stats/base/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdevyc
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‎lib/node_modules/@stdlib/stats/base/nanvarianceyc/README.md

+3-3
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@@ -174,7 +174,7 @@ var v = nanvarianceyc.ndarray( 5, 1, x, 2, 1 );
174174
- If `N <= 0`, both functions return `NaN`.
175175
- If `n - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment and `n` corresponds to the number of non-`NaN` indexed elements), 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 ([`dnanvarianceyc`][@stdlib/stats/base/dnanvarianceyc], [`snanvarianceyc`][@stdlib/stats/base/snanvarianceyc], etc.) are likely to be significantly more performant.
177+
- Depending on the environment, the typed versions ([`dnanvarianceyc`][@stdlib/stats/strided/dnanvarianceyc], [`snanvarianceyc`][@stdlib/stats/base/snanvarianceyc], etc.) are likely to be significantly more performant.
178178

179179
</section>
180180

@@ -230,7 +230,7 @@ console.log( v );
230230

231231
## See Also
232232

233-
- <span class="package-name">[`@stdlib/stats/base/dnanvarianceyc`][@stdlib/stats/base/dnanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
233+
- <span class="package-name">[`@stdlib/stats/strided/dnanvarianceyc`][@stdlib/stats/strided/dnanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
234234
- <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>
235235
- <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>
236236
- <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>
@@ -256,7 +256,7 @@ console.log( v );
256256

257257
<!-- <related-links> -->
258258

259-
[@stdlib/stats/base/dnanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvarianceyc
259+
[@stdlib/stats/strided/dnanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvarianceyc
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261261
[@stdlib/stats/base/nanstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanstdevyc
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‎lib/node_modules/@stdlib/stats/base/snanvarianceyc/README.md

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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dnanvarianceyc`][@stdlib/stats/base/dnanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
245+
- <span class="package-name">[`@stdlib/stats/strided/dnanvarianceyc`][@stdlib/stats/strided/dnanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-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/nanvarianceyc`][@stdlib/stats/base/nanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance 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/snanstdevyc`][@stdlib/stats/base/snanstdevyc]</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 one-pass algorithm proposed by Youngs and Cramer.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanvariance`][@stdlib/stats/base/snanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values.</span>
@@ -266,7 +266,7 @@ console.log( v );
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267267
<!-- <related-links> -->
268268

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[@stdlib/stats/base/dnanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvarianceyc
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[@stdlib/stats/strided/dnanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvarianceyc
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[@stdlib/stats/base/nanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvarianceyc
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‎lib/node_modules/@stdlib/stats/strided/dnanstdevyc/README.md

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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dnanstdev`][@stdlib/stats/base/dnanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.</span>
363-
- <span class="package-name">[`@stdlib/stats/base/dnanvarianceyc`][@stdlib/stats/base/dnanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-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/strided/dnanvarianceyc`][@stdlib/stats/strided/dnanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-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/dstdevyc`][@stdlib/stats/base/dstdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-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/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/snanstdevyc`][@stdlib/stats/base/snanstdevyc]</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 one-pass algorithm proposed by Youngs and Cramer.</span>
@@ -385,7 +385,7 @@ int main( void ) {
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[@stdlib/stats/base/dnanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanstdev
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[@stdlib/stats/base/dnanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanvarianceyc
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[@stdlib/stats/strided/dnanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvarianceyc
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[@stdlib/stats/base/dstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dstdevyc
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‎lib/node_modules/@stdlib/stats/strided/dnanstdevyc/lib/ndarray.js

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2020

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// MODULES //
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23-
var dnanvarianceyc = require( '@stdlib/stats/base/dnanvarianceyc' ).ndarray;
23+
var dnanvarianceyc = require( '@stdlib/stats/strided/dnanvarianceyc' ).ndarray;
2424
var sqrt = require( '@stdlib/math/base/special/sqrt' );
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‎lib/node_modules/@stdlib/stats/strided/dnanstdevyc/manifest.json

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"@stdlib/napi/argv-int64",
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"@stdlib/napi/argv-double",
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"@stdlib/napi/argv-strided-float64array",
48-
"@stdlib/stats/base/dnanvarianceyc",
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"@stdlib/stats/strided/dnanvarianceyc",
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"@stdlib/math/base/special/sqrt",
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"@stdlib/napi/create-double"
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]
@@ -65,7 +65,7 @@
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/math/base/special/sqrt",
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"@stdlib/stats/base/dnanvarianceyc"
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"@stdlib/stats/strided/dnanvarianceyc"
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]
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},
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{
@@ -83,7 +83,7 @@
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/math/base/special/sqrt",
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"@stdlib/stats/base/dnanvarianceyc"
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"@stdlib/stats/strided/dnanvarianceyc"
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]
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},
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{
@@ -101,7 +101,7 @@
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/math/base/special/sqrt",
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"@stdlib/stats/base/dnanvarianceyc"
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"@stdlib/stats/strided/dnanvarianceyc"
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]
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}
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]

‎lib/node_modules/@stdlib/stats/strided/dnanstdevyc/src/main.c

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*/
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#include "stdlib/stats/strided/dnanstdevyc.h"
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#include "stdlib/stats/base/dnanvarianceyc.h"
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#include "stdlib/stats/strided/dnanvarianceyc.h"
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#include "stdlib/math/base/special/sqrt.h"
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#include "stdlib/blas/base/shared.h"
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#include "stdlib/strided/base/stride2offset.h"

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