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Merge branch 'develop' of https://github.com/stdlib-js/stdlib into develop
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Diff for: ‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js

+4-4
Original file line numberDiff line numberDiff line change
@@ -2168,7 +2168,7 @@ ns.push({
21682168
'@stdlib/stats/strided/dsvariance',
21692169
'@stdlib/stats/base/variancepn',
21702170
'@stdlib/stats/base/sdsvariance',
2171-
'@stdlib/stats/base/svariancepn'
2171+
'@stdlib/stats/strided/svariancepn'
21722172
]
21732173
});
21742174

@@ -2280,7 +2280,7 @@ ns.push({
22802280
'@stdlib/stats/strided/dnanvariancepn',
22812281
'@stdlib/stats/strided/dstdevpn',
22822282
'@stdlib/stats/strided/dvariance',
2283-
'@stdlib/stats/base/svariancepn',
2283+
'@stdlib/stats/strided/svariancepn',
22842284
'@stdlib/stats/base/variancepn'
22852285
]
22862286
});
@@ -2294,7 +2294,7 @@ ns.push({
22942294
'@stdlib/stats/strided/dnanvariancetk',
22952295
'@stdlib/stats/strided/dstdevtk',
22962296
'@stdlib/stats/strided/dvariance',
2297-
'@stdlib/stats/base/svariancetk',
2297+
'@stdlib/stats/strided/svariancetk',
22982298
'@stdlib/stats/base/variancetk'
22992299
]
23002300
});
@@ -2322,7 +2322,7 @@ ns.push({
23222322
'@stdlib/stats/strided/dnanvarianceyc',
23232323
'@stdlib/stats/strided/dstdevyc',
23242324
'@stdlib/stats/strided/dvariance',
2325-
'@stdlib/stats/base/svarianceyc',
2325+
'@stdlib/stats/strided/svarianceyc',
23262326
'@stdlib/stats/base/varianceyc'
23272327
]
23282328
});

Diff for: ‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js

+12-12
Original file line numberDiff line numberDiff line change
@@ -1406,7 +1406,7 @@ ns.push({
14061406
'@stdlib/stats/base/nanvariancepn',
14071407
'@stdlib/stats/base/snanstdevpn',
14081408
'@stdlib/stats/base/snanvariance',
1409-
'@stdlib/stats/base/svariancepn'
1409+
'@stdlib/stats/strided/svariancepn'
14101410
]
14111411
});
14121412

@@ -1420,7 +1420,7 @@ ns.push({
14201420
'@stdlib/stats/base/nanvariancetk',
14211421
'@stdlib/stats/base/snanstdevtk',
14221422
'@stdlib/stats/base/snanvariance',
1423-
'@stdlib/stats/base/svariancetk'
1423+
'@stdlib/stats/strided/svariancetk'
14241424
]
14251425
});
14261426

@@ -1448,7 +1448,7 @@ ns.push({
14481448
'@stdlib/stats/base/nanvarianceyc',
14491449
'@stdlib/stats/base/snanstdevyc',
14501450
'@stdlib/stats/base/snanvariance',
1451-
'@stdlib/stats/base/svarianceyc'
1451+
'@stdlib/stats/strided/svarianceyc'
14521452
]
14531453
});
14541454

@@ -1652,7 +1652,7 @@ ns.push({
16521652
'@stdlib/stats/base/sstdev',
16531653
'@stdlib/stats/base/sstdevmpn',
16541654
'@stdlib/stats/base/stdevpn',
1655-
'@stdlib/stats/base/svariancepn'
1655+
'@stdlib/stats/strided/svariancepn'
16561656
]
16571657
});
16581658

@@ -1666,7 +1666,7 @@ ns.push({
16661666
'@stdlib/stats/base/snanstdevtk',
16671667
'@stdlib/stats/base/sstdev',
16681668
'@stdlib/stats/base/stdevtk',
1669-
'@stdlib/stats/base/svariancetk'
1669+
'@stdlib/stats/strided/svariancetk'
16701670
]
16711671
});
16721672

@@ -1694,7 +1694,7 @@ ns.push({
16941694
'@stdlib/stats/base/snanstdevyc',
16951695
'@stdlib/stats/base/sstdev',
16961696
'@stdlib/stats/base/stdevyc',
1697-
'@stdlib/stats/base/svarianceyc'
1697+
'@stdlib/stats/strided/svarianceyc'
16981698
]
16991699
});
17001700

@@ -1920,8 +1920,8 @@ ns.push({
19201920

19211921
ns.push({
19221922
'alias': 'base.strided.svariancepn',
1923-
'path': '@stdlib/stats/base/svariancepn',
1924-
'value': require( '@stdlib/stats/base/svariancepn' ),
1923+
'path': '@stdlib/stats/strided/svariancepn',
1924+
'value': require( '@stdlib/stats/strided/svariancepn' ),
19251925
'type': 'Function',
19261926
'related': [
19271927
'@stdlib/stats/strided/dvariancepn',
@@ -1935,8 +1935,8 @@ ns.push({
19351935

19361936
ns.push({
19371937
'alias': 'base.strided.svariancetk',
1938-
'path': '@stdlib/stats/base/svariancetk',
1939-
'value': require( '@stdlib/stats/base/svariancetk' ),
1938+
'path': '@stdlib/stats/strided/svariancetk',
1939+
'value': require( '@stdlib/stats/strided/svariancetk' ),
19401940
'type': 'Function',
19411941
'related': [
19421942
'@stdlib/stats/strided/dvariancetk',
@@ -1963,8 +1963,8 @@ ns.push({
19631963

19641964
ns.push({
19651965
'alias': 'base.strided.svarianceyc',
1966-
'path': '@stdlib/stats/base/svarianceyc',
1967-
'value': require( '@stdlib/stats/base/svarianceyc' ),
1966+
'path': '@stdlib/stats/strided/svarianceyc',
1967+
'value': require( '@stdlib/stats/strided/svarianceyc' ),
19681968
'type': 'Function',
19691969
'related': [
19701970
'@stdlib/stats/strided/dvarianceyc',

Diff for: ‎lib/node_modules/@stdlib/stats/base/README.md

+6-6
Original file line numberDiff line numberDiff line change
@@ -239,10 +239,10 @@ The namespace contains the following statistical functions:
239239
- <span class="signature">[`stdevyc( N, correction, x, stride )`][@stdlib/stats/base/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>
240240
- <span class="signature">[`svariance( N, correction, x, stride )`][@stdlib/stats/base/svariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array.</span>
241241
- <span class="signature">[`svariancech( N, correction, x, strideX )`][@stdlib/stats/strided/svariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
242-
- <span class="signature">[`svariancepn( N, correction, x, strideX )`][@stdlib/stats/base/svariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.</span>
243-
- <span class="signature">[`svariancetk( N, correction, x, strideX )`][@stdlib/stats/base/svariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.</span>
242+
- <span class="signature">[`svariancepn( N, correction, x, strideX )`][@stdlib/stats/strided/svariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.</span>
243+
- <span class="signature">[`svariancetk( N, correction, x, strideX )`][@stdlib/stats/strided/svariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.</span>
244244
- <span class="signature">[`svariancewd( N, correction, x, stride )`][@stdlib/stats/base/svariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using Welford's algorithm.</span>
245-
- <span class="signature">[`svarianceyc( N, correction, x, strideX )`][@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>
245+
- <span class="signature">[`svarianceyc( N, correction, x, strideX )`][@stdlib/stats/strided/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>
246246
- <span class="signature">[`variance( N, correction, x, stride )`][@stdlib/stats/base/variance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array.</span>
247247
- <span class="signature">[`variancech( N, correction, x, stride )`][@stdlib/stats/base/variancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass trial mean algorithm.</span>
248248
- <span class="signature">[`variancepn( N, correction, x, stride )`][@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>
@@ -663,13 +663,13 @@ console.log( objectKeys( ns ) );
663663

664664
[@stdlib/stats/strided/svariancech]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancech
665665

666-
[@stdlib/stats/base/svariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancepn
666+
[@stdlib/stats/strided/svariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancepn
667667

668-
[@stdlib/stats/base/svariancetk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancetk
668+
[@stdlib/stats/strided/svariancetk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancetk
669669

670670
[@stdlib/stats/base/svariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancewd
671671

672-
[@stdlib/stats/base/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svarianceyc
672+
[@stdlib/stats/strided/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svarianceyc
673673

674674
[@stdlib/stats/base/variance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/variance
675675

Diff for: ‎lib/node_modules/@stdlib/stats/base/docs/types/index.d.ts

-84
Original file line numberDiff line numberDiff line change
@@ -127,10 +127,7 @@ import stdevtk = require( '@stdlib/stats/base/stdevtk' );
127127
import stdevwd = require( '@stdlib/stats/base/stdevwd' );
128128
import stdevyc = require( '@stdlib/stats/base/stdevyc' );
129129
import svariance = require( '@stdlib/stats/base/svariance' );
130-
import svariancepn = require( '@stdlib/stats/base/svariancepn' );
131-
import svariancetk = require( '@stdlib/stats/base/svariancetk' );
132130
import svariancewd = require( '@stdlib/stats/base/svariancewd' );
133-
import svarianceyc = require( '@stdlib/stats/base/svarianceyc' );
134131
import variance = require( '@stdlib/stats/base/variance' );
135132
import variancech = require( '@stdlib/stats/base/variancech' );
136133
import variancepn = require( '@stdlib/stats/base/variancepn' );
@@ -2981,60 +2978,6 @@ interface Namespace {
29812978
*/
29822979
svariance: typeof svariance;
29832980

2984-
/**
2985-
* Computes the variance of a single-precision floating-point strided array using a two-pass algorithm.
2986-
*
2987-
* @param N - number of indexed elements
2988-
* @param correction - degrees of freedom adjustment
2989-
* @param x - input array
2990-
* @param strideX - stride length
2991-
* @returns variance
2992-
*
2993-
* @example
2994-
* var Float32Array = require( '@stdlib/array/float32' );
2995-
*
2996-
* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
2997-
*
2998-
* var v = ns.svariancepn( x.length, 1, x, 1 );
2999-
* // returns ~4.3333
3000-
*
3001-
* @example
3002-
* var Float32Array = require( '@stdlib/array/float32' );
3003-
*
3004-
* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
3005-
*
3006-
* var v = ns.svariancepn.ndarray( x.length, 1, x, 1, 0 );
3007-
* // returns ~4.3333
3008-
*/
3009-
svariancepn: typeof svariancepn;
3010-
3011-
/**
3012-
* Computes the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.
3013-
*
3014-
* @param N - number of indexed elements
3015-
* @param correction - degrees of freedom adjustment
3016-
* @param x - input array
3017-
* @param strideX - stride length
3018-
* @returns variance
3019-
*
3020-
* @example
3021-
* var Float32Array = require( '@stdlib/array/float32' );
3022-
*
3023-
* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
3024-
*
3025-
* var v = ns.svariancetk( x.length, 1, x, 1 );
3026-
* // returns ~4.3333
3027-
*
3028-
* @example
3029-
* var Float32Array = require( '@stdlib/array/float32' );
3030-
*
3031-
* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
3032-
*
3033-
* var v = ns.svariancetk.ndarray( x.length, 1, x, 1, 0 );
3034-
* // returns ~4.3333
3035-
*/
3036-
svariancetk: typeof svariancetk;
3037-
30382981
/**
30392982
* Computes the variance of a single-precision floating-point strided array using Welford's algorithm.
30402983
*
@@ -3062,33 +3005,6 @@ interface Namespace {
30623005
*/
30633006
svariancewd: typeof svariancewd;
30643007

3065-
/**
3066-
* Computes the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
3067-
*
3068-
* @param N - number of indexed elements
3069-
* @param correction - degrees of freedom adjustment
3070-
* @param x - input array
3071-
* @param strideX - stride length
3072-
* @returns variance
3073-
*
3074-
* @example
3075-
* var Float32Array = require( '@stdlib/array/float32' );
3076-
*
3077-
* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
3078-
*
3079-
* var v = ns.svarianceyc( x.length, 1, x, 1 );
3080-
* // returns ~4.3333
3081-
*
3082-
* @example
3083-
* var Float32Array = require( '@stdlib/array/float32' );
3084-
*
3085-
* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
3086-
*
3087-
* var v = ns.svarianceyc.ndarray( x.length, 1, x, 1, 0 );
3088-
* // returns ~4.3333
3089-
*/
3090-
svarianceyc: typeof svarianceyc;
3091-
30923008
/**
30933009
* Computes the variance of a strided array.
30943010
*

Diff for: ‎lib/node_modules/@stdlib/stats/base/lib/index.js

-27
Original file line numberDiff line numberDiff line change
@@ -999,24 +999,6 @@ setReadOnly( ns, 'stdevyc', require( '@stdlib/stats/base/stdevyc' ) );
999999
*/
10001000
setReadOnly( ns, 'svariance', require( '@stdlib/stats/base/svariance' ) );
10011001

1002-
/**
1003-
* @name svariancepn
1004-
* @memberof ns
1005-
* @readonly
1006-
* @type {Function}
1007-
* @see {@link module:@stdlib/stats/base/svariancepn}
1008-
*/
1009-
setReadOnly( ns, 'svariancepn', require( '@stdlib/stats/base/svariancepn' ) );
1010-
1011-
/**
1012-
* @name svariancetk
1013-
* @memberof ns
1014-
* @readonly
1015-
* @type {Function}
1016-
* @see {@link module:@stdlib/stats/base/svariancetk}
1017-
*/
1018-
setReadOnly( ns, 'svariancetk', require( '@stdlib/stats/base/svariancetk' ) );
1019-
10201002
/**
10211003
* @name svariancewd
10221004
* @memberof ns
@@ -1026,15 +1008,6 @@ setReadOnly( ns, 'svariancetk', require( '@stdlib/stats/base/svariancetk' ) );
10261008
*/
10271009
setReadOnly( ns, 'svariancewd', require( '@stdlib/stats/base/svariancewd' ) );
10281010

1029-
/**
1030-
* @name svarianceyc
1031-
* @memberof ns
1032-
* @readonly
1033-
* @type {Function}
1034-
* @see {@link module:@stdlib/stats/base/svarianceyc}
1035-
*/
1036-
setReadOnly( ns, 'svarianceyc', require( '@stdlib/stats/base/svarianceyc' ) );
1037-
10381011
/**
10391012
* @name variance
10401013
* @memberof ns

Diff for: ‎lib/node_modules/@stdlib/stats/base/snanvariancepn/README.md

+2-2
Original file line numberDiff line numberDiff line change
@@ -247,7 +247,7 @@ console.log( v );
247247
- <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>
248248
- <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>
249249
- <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>
250-
- <span class="package-name">[`@stdlib/stats/base/svariancepn`][@stdlib/stats/base/svariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.</span>
250+
- <span class="package-name">[`@stdlib/stats/strided/svariancepn`][@stdlib/stats/strided/svariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.</span>
251251

252252
</section>
253253

@@ -277,7 +277,7 @@ console.log( v );
277277

278278
[@stdlib/stats/base/snanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariance
279279

280-
[@stdlib/stats/base/svariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancepn
280+
[@stdlib/stats/strided/svariancepn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancepn
281281

282282
<!-- </related-links> -->
283283

Diff for: ‎lib/node_modules/@stdlib/stats/base/snanvariancetk/README.md

+2-2
Original file line numberDiff line numberDiff line change
@@ -247,7 +247,7 @@ console.log( v );
247247
- <span class="package-name">[`@stdlib/stats/base/nanvariancetk`][@stdlib/stats/base/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>
248248
- <span class="package-name">[`@stdlib/stats/base/snanstdevtk`][@stdlib/stats/base/snanstdevtk]</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 textbook algorithm.</span>
249249
- <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>
250-
- <span class="package-name">[`@stdlib/stats/base/svariancetk`][@stdlib/stats/base/svariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.</span>
250+
- <span class="package-name">[`@stdlib/stats/strided/svariancetk`][@stdlib/stats/strided/svariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.</span>
251251

252252
</section>
253253

@@ -275,7 +275,7 @@ console.log( v );
275275

276276
[@stdlib/stats/base/snanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariance
277277

278-
[@stdlib/stats/base/svariancetk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svariancetk
278+
[@stdlib/stats/strided/svariancetk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svariancetk
279279

280280
<!-- </related-links> -->
281281

Diff for: ‎lib/node_modules/@stdlib/stats/base/snanvarianceyc/README.md

+2-2
Original file line numberDiff line numberDiff line change
@@ -246,7 +246,7 @@ console.log( v );
246246
- <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>
247247
- <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>
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- <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>
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- <span class="package-name">[`@stdlib/stats/strided/svarianceyc`][@stdlib/stats/strided/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>
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</section>
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@@ -274,7 +274,7 @@ console.log( v );
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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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[@stdlib/stats/base/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/svarianceyc
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[@stdlib/stats/strided/svarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/svarianceyc
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<!-- </related-links> -->
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Diff for: ‎lib/node_modules/@stdlib/stats/base/svariance/lib/ndarray.js

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

Diff for: ‎lib/node_modules/@stdlib/stats/base/svariance/lib/svariance.js

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

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