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CHANGELOG.md

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### Features
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- [`d985063`](https://github.com/stdlib-js/stdlib/commit/d985063b6fc9348485640f52158bbea28c7e4b86) - add `stats/base/ndarray/svariance` [(#11510)](https://github.com/stdlib-js/stdlib/pull/11510)
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- [`66be61a`](https://github.com/stdlib-js/stdlib/commit/66be61a4af9d5aa12e2cc5a7acf6e9fae0030a27) - add `midrangeabs` to namespace
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- [`704d0c3`](https://github.com/stdlib-js/stdlib/commit/704d0c3a78e43834c434409b1b154dd30b15668a) - add `midrangeabs` to namespace
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- [`62d1f84`](https://github.com/stdlib-js/stdlib/commit/62d1f841e6b236ecdc7bd7d9744c557bba404002) - add `stats/base/ndarray/midrangeabs` [(#11469)](https://github.com/stdlib-js/stdlib/pull/11469)
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<details>
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- [`d985063`](https://github.com/stdlib-js/stdlib/commit/d985063b6fc9348485640f52158bbea28c7e4b86) - **feat:** add `stats/base/ndarray/svariance` [(#11510)](https://github.com/stdlib-js/stdlib/pull/11510) _(by Pratik)_
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- [`71a93c8`](https://github.com/stdlib-js/stdlib/commit/71a93c88b8f794e067e62bfb86e0e549c3b27a0b) - **docs:** improve doctests for ndarray instances in `stats/base/ndarray/dcuminabs` [(#11526)](https://github.com/stdlib-js/stdlib/pull/11526) _(by Uday Kakade)_
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- [`adc6eb6`](https://github.com/stdlib-js/stdlib/commit/adc6eb6b331959b7123e4fb9598450496b980425) - **docs:** improve doctests for ndarray instances in `stats/base/ndarray/dcumxabs` [(#11525)](https://github.com/stdlib-js/stdlib/pull/11525) _(by Uday Kakade)_
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- [`d5dc0ec`](https://github.com/stdlib-js/stdlib/commit/d5dc0ec5e07a3490a539f33c9723df8ddcb20ae9) - **docs:** improve doctests for ndarray instances in `stats/base/ndarray/dcumax` [(#11524)](https://github.com/stdlib-js/stdlib/pull/11524) _(by Uday Kakade)_
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- [`9e562a3`](https://github.com/stdlib-js/stdlib/commit/9e562a3d9c9650d384bb6a3f8966a0c7e1c6a307) - **docs:** improve doctests for ndarray instances in `stats/base/ndarray/cumin` [(#11523)](https://github.com/stdlib-js/stdlib/pull/11523) _(by Uday Kakade)_
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- [`a19ed4c`](https://github.com/stdlib-js/stdlib/commit/a19ed4c1ebd7a8e2124665cf5b9442e7e970eb19) - **docs:** improve doctests for ndarray instances in `stats/base/ndarray/cumax` [(#11522)](https://github.com/stdlib-js/stdlib/pull/11522) _(by Uday Kakade)_
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- [`00385f6`](https://github.com/stdlib-js/stdlib/commit/00385f618ba07beba4fa4be45feee0f55591aa5f) - **docs:** improve doctests for ndarray instances in `stats/base/ndarray/dcumin` [(#11521)](https://github.com/stdlib-js/stdlib/pull/11521) _(by Uday Kakade)_
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- [`2505815`](https://github.com/stdlib-js/stdlib/commit/25058156cf7b1138c5c33209a5143100c376b46d) - **docs:** update namespace table of contents [(#11520)](https://github.com/stdlib-js/stdlib/pull/11520) _(by stdlib-bot)_
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- [`e616ec3`](https://github.com/stdlib-js/stdlib/commit/e616ec3c2b724c7b94937c8b892f54d5ef437719) - **docs:** capitalize `Pearson` and close backtick in `stats/strided/dpcorrwd` [(#11515)](https://github.com/stdlib-js/stdlib/pull/11515) _(by Philipp Burckhardt)_
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- [`d3427df`](https://github.com/stdlib-js/stdlib/commit/d3427df39ee3407e76b32095ec622edf1c7d084e) - **remove:** remove `stats/strided/nancount` _(by Athan Reines)_

base/ndarray/cumax/README.md

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Computes the cumulative maximum value of a one-dimensional ndarray.
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```javascript
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var ndarray2array = require( '@stdlib/ndarray/to-array' );
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var ndarray = require( '@stdlib/ndarray/base/ctor' );
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var xbuf = [ 1.0, 3.0, 4.0, 2.0 ];
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var y = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
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var v = cumax( [ x, y ] );
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// returns <ndarray>
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// returns <ndarray>[ 1.0, 3.0, 4.0, 4.0 ]
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var bool = ( v === y );
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// returns true
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var arr = ndarray2array( v );
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// returns [ 1.0, 3.0, 4.0, 4.0 ]
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```
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The function has the following parameters:

base/ndarray/cumax/docs/repl.txt

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> var ord = 'row-major';
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> var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, st, oo, ord );
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> var y = new {{alias:@stdlib/ndarray/ctor}}( dt, ybuf, sh, st, oo, ord );
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> {{alias}}( [ x, y ] );
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> {{alias:@stdlib/ndarray/to-array}}( y )
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[ 1.0, 1.0, 2.0 ]
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> {{alias}}( [ x, y ] )
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<ndarray>[ 1.0, 1.0, 2.0 ]
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See Also
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--------

base/ndarray/cumax/docs/types/index.d.ts

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* @returns output ndarray
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*
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* @example
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* var ndarray2array = require( '@stdlib/ndarray/to-array' );
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* var ndarray = require( '@stdlib/ndarray/base/ctor' );
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*
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* var xbuf = [ 1.0, 3.0, 4.0, 2.0 ];
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* var y = new ndarray( 'generic', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
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*
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* var v = cumax( [ x, y ] );
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* // returns <ndarray>
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* // returns <ndarray>[ 1.0, 3.0, 4.0, 4.0 ]
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*
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* var bool = ( v === y );
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* // returns true
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*
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* var arr = ndarray2array( v );
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* // returns [ 1.0, 3.0, 4.0, 4.0 ]
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*/
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declare function cumax<T extends typedndarray<unknown> = typedndarray<unknown>>( arrays: [ ndarray, T ] ): T;
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base/ndarray/cumax/lib/index.js

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* @module @stdlib/stats/base/ndarray/cumax
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*
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* @example
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* var ndarray2array = require( '@stdlib/ndarray/to-array' );
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* var ndarray = require( '@stdlib/ndarray/base/ctor' );
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* var cumax = require( '@stdlib/stats/base/ndarray/cumax' );
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*
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* var y = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
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*
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* var v = cumax( [ x, y ] );
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* // returns <ndarray>
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* // returns <ndarray>[ 1.0, 3.0, 4.0, 4.0 ]
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* // returns true
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*
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* var arr = ndarray2array( v );
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* // returns [ 1.0, 3.0, 4.0, 4.0 ]
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*/
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// MODULES //

base/ndarray/cumax/lib/main.js

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* @returns {ndarrayLike} output ndarray
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*
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* var ndarray2array = require( '@stdlib/ndarray/to-array' );
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* var ndarray = require( '@stdlib/ndarray/base/ctor' );
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*
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* // returns <ndarray>
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* // returns <ndarray>[ 1.0, 3.0, 4.0, 4.0 ]
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* // returns true
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*
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* var arr = ndarray2array( v );
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* // returns [ 1.0, 3.0, 4.0, 4.0 ]
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*/
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function cumax( arrays ) {
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base/ndarray/cumin/README.md

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Computes the cumulative minimum value of a one-dimensional ndarray.
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var ndarray2array = require( '@stdlib/ndarray/to-array' );
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var xbuf = [ 1.0, 3.0, 4.0, 2.0 ];
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var v = cumin( [ x, y ] );
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// returns <ndarray>[ 1.0, 1.0, 1.0, 1.0 ]
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// returns true
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var arr = ndarray2array( v );
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// returns [ 1.0, 1.0, 1.0, 1.0 ]
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The function has the following parameters:

base/ndarray/cumin/docs/repl.txt

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> var ord = 'row-major';
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> var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, st, oo, ord );
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> var y = new {{alias:@stdlib/ndarray/ctor}}( dt, ybuf, sh, st, oo, ord );
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> {{alias}}( [ x, y ] );
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> {{alias:@stdlib/ndarray/to-array}}( y )
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[ 1.0, -2.0, -2.0 ]
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> {{alias}}( [ x, y ] )
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<ndarray>[ 1.0, -2.0, -2.0 ]
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base/ndarray/cumin/docs/types/index.d.ts

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declare function cumin<T extends typedndarray<unknown> = typedndarray<unknown>>( arrays: [ ndarray, T ] ): T;
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base/ndarray/cumin/lib/index.js

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* @module @stdlib/stats/base/ndarray/cumin
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*
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* var ndarray2array = require( '@stdlib/ndarray/to-array' );
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* var ndarray = require( '@stdlib/ndarray/base/ctor' );
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* var cumin = require( '@stdlib/stats/base/ndarray/cumin' );
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*
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*
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* var arr = ndarray2array( v );
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* // returns [ 1.0, 1.0, 1.0, 1.0 ]
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*/
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// MODULES //

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