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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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@@ -1407,7 +1407,7 @@ ns.push({
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'@stdlib/stats/strided/dnanstdev',
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'@stdlib/stats/base/dnanvarm',
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'@stdlib/stats/strided/dvariance',
1410-
'@stdlib/stats/base/nanvariance',
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'@stdlib/stats/strided/nanvariance',
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'@stdlib/stats/base/snanvariance'
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]
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});

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

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Original file line numberDiff line numberDiff line change
@@ -241,7 +241,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dnanstdev',
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'@stdlib/stats/base/mskstdev',
244-
'@stdlib/stats/base/nanvariance',
244+
'@stdlib/stats/strided/nanvariance',
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'@stdlib/stats/base/snanstdev',
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'@stdlib/stats/strided/stdev'
247247
]
@@ -319,8 +319,8 @@ ns.push({
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320320
ns.push({
321321
'alias': 'base.strided.nanvariance',
322-
'path': '@stdlib/stats/base/nanvariance',
323-
'value': require( '@stdlib/stats/base/nanvariance' ),
322+
'path': '@stdlib/stats/strided/nanvariance',
323+
'value': require( '@stdlib/stats/strided/nanvariance' ),
324324
'type': 'Function',
325325
'related': [
326326
'@stdlib/stats/strided/dnanvariance',
@@ -338,7 +338,7 @@ ns.push({
338338
'related': [
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'@stdlib/stats/strided/dnanvariancech',
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'@stdlib/stats/base/nanstdevch',
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'@stdlib/stats/base/nanvariance',
341+
'@stdlib/stats/strided/nanvariance',
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'@stdlib/stats/base/snanvariancech',
343343
'@stdlib/stats/strided/variancech'
344344
]
@@ -352,7 +352,7 @@ ns.push({
352352
'related': [
353353
'@stdlib/stats/strided/dnanvariancepn',
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'@stdlib/stats/base/nanstdevpn',
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'@stdlib/stats/base/nanvariance',
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'@stdlib/stats/strided/nanvariance',
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'@stdlib/stats/base/snanvariancepn',
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'@stdlib/stats/strided/variancepn'
358358
]
@@ -366,7 +366,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dnanvariancetk',
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'@stdlib/stats/base/nanstdevtk',
369-
'@stdlib/stats/base/nanvariance',
369+
'@stdlib/stats/strided/nanvariance',
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'@stdlib/stats/base/snanvariancetk',
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'@stdlib/stats/strided/variancetk'
372372
]
@@ -380,7 +380,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dnanvariancewd',
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'@stdlib/stats/base/nanstdevwd',
383-
'@stdlib/stats/base/nanvariance',
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'@stdlib/stats/strided/nanvariance',
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'@stdlib/stats/base/snanvariancewd',
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'@stdlib/stats/strided/variancewd'
386386
]
@@ -394,7 +394,7 @@ ns.push({
394394
'related': [
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'@stdlib/stats/strided/dnanvarianceyc',
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'@stdlib/stats/base/nanstdevyc',
397-
'@stdlib/stats/base/nanvariance',
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'@stdlib/stats/strided/nanvariance',
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'@stdlib/stats/base/snanvarianceyc',
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'@stdlib/stats/strided/varianceyc'
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]

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

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@@ -1375,7 +1375,7 @@ ns.push({
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanvariance',
1378-
'@stdlib/stats/base/nanvariance',
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'@stdlib/stats/strided/nanvariance',
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'@stdlib/stats/base/smskvariance',
13801380
'@stdlib/stats/base/snanstdev',
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'@stdlib/stats/strided/svariance'

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

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@@ -33,7 +33,7 @@ ns.push({
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dvariance',
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'@stdlib/stats/base/nanvariance',
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'@stdlib/stats/strided/nanvariance',
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'@stdlib/stats/strided/stdev',
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'@stdlib/stats/strided/svariance',
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'@stdlib/stats/base/varm'

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

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@@ -33,7 +33,7 @@ The population [variance][variance] of a finite size population of size `N` is g
3333
```
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<!-- <div class="equation" align="center" data-raw-text="\sigma^2 = \frac{1}{N} \sum_{i=0}^{N-1} (x_i - \mu)^2" data-equation="eq:population_variance">
36-
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@86d4717094f2f0e1d5850ad3208e8591d15792ba/lib/node_modules/@stdlib/stats/base/nanvariance/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
36+
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@86d4717094f2f0e1d5850ad3208e8591d15792ba/lib/node_modules/@stdlib/stats/strided/nanvariance/docs/img/equation_population_variance.svg" alt="Equation for the population variance.">
3737
<br>
3838
</div> -->
3939

@@ -48,7 +48,7 @@ where the population mean is given by
4848
```
4949

5050
<!-- <div class="equation" align="center" data-raw-text="\mu = \frac{1}{N} \sum_{i=0}^{N-1} x_i" data-equation="eq:population_mean">
51-
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@86d4717094f2f0e1d5850ad3208e8591d15792ba/lib/node_modules/@stdlib/stats/base/nanvariance/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
51+
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@86d4717094f2f0e1d5850ad3208e8591d15792ba/lib/node_modules/@stdlib/stats/strided/nanvariance/docs/img/equation_population_mean.svg" alt="Equation for the population mean.">
5252
<br>
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</div> -->
5454

@@ -63,7 +63,7 @@ s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2
6363
```
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6565
<!-- <div class="equation" align="center" data-raw-text="s^2 = \frac{1}{n-1} \sum_{i=0}^{n-1} (x_i - \bar{x})^2" data-equation="eq:unbiased_sample_variance">
66-
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@86d4717094f2f0e1d5850ad3208e8591d15792ba/lib/node_modules/@stdlib/stats/base/nanvariance/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
66+
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@86d4717094f2f0e1d5850ad3208e8591d15792ba/lib/node_modules/@stdlib/stats/strided/nanvariance/docs/img/equation_unbiased_sample_variance.svg" alt="Equation for computing an unbiased sample variance.">
6767
<br>
6868
</div> -->
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@@ -78,7 +78,7 @@ where the sample mean is given by
7878
```
7979

8080
<!-- <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">
81-
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@86d4717094f2f0e1d5850ad3208e8591d15792ba/lib/node_modules/@stdlib/stats/base/nanvariance/docs/img/equation_sample_mean.svg" alt="Equation for the sample mean.">
81+
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@86d4717094f2f0e1d5850ad3208e8591d15792ba/lib/node_modules/@stdlib/stats/strided/nanvariance/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/nanvariance/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' );
2828
var join = require( '@stdlib/array/base/join' );
29-
var strided = require( '@stdlib/stats/base/nanvariance' ).ndarray;
29+
var strided = require( '@stdlib/stats/strided/nanvariance' ).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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@@ -72,7 +72,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`nanstdevtk( N, correction, x, stride )`][@stdlib/stats/base/nanstdevtk]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring `NaN` values and using a one-pass textbook algorithm.</span>
7373
- <span class="signature">[`nanstdevwd( N, correction, x, stride )`][@stdlib/stats/base/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>
7474
- <span class="signature">[`nanstdevyc( N, correction, x, strideX )`][@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>
75-
- <span class="signature">[`nanvariance( N, correction, x, strideX )`][@stdlib/stats/base/nanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values.</span>
75+
- <span class="signature">[`nanvariance( N, correction, x, strideX )`][@stdlib/stats/strided/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="signature">[`nanvariancech( N, correction, x, strideX )`][@stdlib/stats/strided/nanvariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a one-pass trial mean algorithm.</span>
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- <span class="signature">[`nanvariancepn( N, correction, x, strideX )`][@stdlib/stats/strided/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="signature">[`nanvariancetk( N, correction, x, strideX )`][@stdlib/stats/strided/nanvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a one-pass textbook algorithm.</span>
@@ -193,7 +193,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/nanstdevyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanstdevyc
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196-
[@stdlib/stats/base/nanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariance
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[@stdlib/stats/strided/nanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanvariance
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[@stdlib/stats/strided/nanvariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanvariancech
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‎lib/node_modules/@stdlib/stats/base/nanstdev/README.md

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## See Also
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- <span class="package-name">[`@stdlib/stats/strided/dnanstdev`][@stdlib/stats/strided/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>
228-
- <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>
228+
- <span class="package-name">[`@stdlib/stats/strided/nanvariance`][@stdlib/stats/strided/nanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values.</span>
229229
- <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>
230230
- <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>
231231

@@ -249,7 +249,7 @@ console.log( v );
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250250
[@stdlib/stats/strided/dnanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanstdev
251251

252-
[@stdlib/stats/base/nanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariance
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[@stdlib/stats/strided/nanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanvariance
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254254
[@stdlib/stats/base/snanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdev
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‎lib/node_modules/@stdlib/stats/base/snanvariance/README.md

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## See Also
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- <span class="package-name">[`@stdlib/stats/strided/dnanvariance`][@stdlib/stats/strided/dnanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array ignoring NaN values.</span>
240-
- <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>
240+
- <span class="package-name">[`@stdlib/stats/strided/nanvariance`][@stdlib/stats/strided/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/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/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>
243243

@@ -259,7 +259,7 @@ console.log( v );
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260260
[@stdlib/stats/strided/dnanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvariance
261261

262-
[@stdlib/stats/base/nanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariance
262+
[@stdlib/stats/strided/nanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanvariance
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264264
[@stdlib/stats/base/snanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdev
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‎lib/node_modules/@stdlib/stats/strided/dnanvariance/README.md

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@@ -355,7 +355,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dnanstdev`][@stdlib/stats/strided/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>
357357
- <span class="package-name">[`@stdlib/stats/strided/dvariance`][@stdlib/stats/strided/dvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array.</span>
358-
- <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>
358+
- <span class="package-name">[`@stdlib/stats/strided/nanvariance`][@stdlib/stats/strided/nanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values.</span>
359359
- <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>
360360
361361
</section>
@@ -378,7 +378,7 @@ int main( void ) {
378378
379379
[@stdlib/stats/strided/dvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariance
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[@stdlib/stats/base/nanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariance
381+
[@stdlib/stats/strided/nanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanvariance
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[@stdlib/stats/base/snanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariance
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