time-to-botec/js/node_modules/@stdlib/stats/base/dists/hypergeometric/README.md

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# Hypergeometric
> Hypergeometric distribution.
<section class="usage">
## Usage
```javascript
var hypergeometric = require( '@stdlib/stats/base/dists/hypergeometric' );
```
#### hypergeometric
Hypergeometric distribution.
```javascript
var dist = hypergeometric;
// returns {...}
```
The namespace contains the following distribution functions:
<!-- <toc pattern="*+(cdf|pmf|mgf|quantile)*"> -->
<div class="namespace-toc">
- <span class="signature">[`cdf( x, N, K, n )`][@stdlib/stats/base/dists/hypergeometric/cdf]</span><span class="delimiter">: </span><span class="description">hypergeometric distribution cumulative distribution function.</span>
- <span class="signature">[`logpmf( x, N, K, n )`][@stdlib/stats/base/dists/hypergeometric/logpmf]</span><span class="delimiter">: </span><span class="description">evaluate the natural logarithm of the probability mass function (PMF) for a hypergeometric distribution.</span>
- <span class="signature">[`pmf( x, N, K, n )`][@stdlib/stats/base/dists/hypergeometric/pmf]</span><span class="delimiter">: </span><span class="description">hypergeometric distribution probability mass function (PMF).</span>
- <span class="signature">[`quantile( p, N, K, n )`][@stdlib/stats/base/dists/hypergeometric/quantile]</span><span class="delimiter">: </span><span class="description">hypergeometric distribution quantile function.</span>
</div>
<!-- </toc> -->
The namespace contains the following functions for calculating distribution properties:
<!-- <toc pattern="*+(entropy|kurtosis|mean|median|mode|skewness|stdev|variance)*"> -->
<div class="namespace-toc">
- <span class="signature">[`kurtosis( N, K, n )`][@stdlib/stats/base/dists/hypergeometric/kurtosis]</span><span class="delimiter">: </span><span class="description">hypergeometric distribution excess kurtosis.</span>
- <span class="signature">[`mean( N, K, n )`][@stdlib/stats/base/dists/hypergeometric/mean]</span><span class="delimiter">: </span><span class="description">hypergeometric distribution expected value.</span>
- <span class="signature">[`mode( N, K, n )`][@stdlib/stats/base/dists/hypergeometric/mode]</span><span class="delimiter">: </span><span class="description">hypergeometric distribution mode.</span>
- <span class="signature">[`skewness( N, K, n )`][@stdlib/stats/base/dists/hypergeometric/skewness]</span><span class="delimiter">: </span><span class="description">hypergeometric distribution skewness.</span>
- <span class="signature">[`stdev( N, K, n )`][@stdlib/stats/base/dists/hypergeometric/stdev]</span><span class="delimiter">: </span><span class="description">hypergeometric distribution standard deviation.</span>
- <span class="signature">[`variance( N, K, n )`][@stdlib/stats/base/dists/hypergeometric/variance]</span><span class="delimiter">: </span><span class="description">hypergeometric distribution variance.</span>
</div>
<!-- </toc> -->
The namespace contains a constructor function for creating a [hypergeometric][hypergeometric-distribution] distribution object.
<!-- <toc pattern="*ctor*"> -->
<div class="namespace-toc">
- <span class="signature">[`Hypergeometric( N, K, n )`][@stdlib/stats/base/dists/hypergeometric/ctor]</span><span class="delimiter">: </span><span class="description">hypergeometric distribution constructor.</span>
</div>
<!-- </toc> -->
```javascript
var Hypergeometric = require( '@stdlib/stats/base/dists/hypergeometric' ).Hypergeometric;
var dist = new Hypergeometric( 8, 2, 4 );
var y = dist.cdf( 0.5 );
// returns ~0.214
```
</section>
<!-- /.usage -->
<section class="examples">
## Examples
<!-- TODO: better examples -->
<!-- eslint no-undef: "error" -->
```javascript
var objectKeys = require( '@stdlib/utils/keys' );
var hypergeometric = require( '@stdlib/stats/base/dists/hypergeometric' );
console.log( objectKeys( hypergeometric ) );
```
</section>
<!-- /.examples -->
<section class="links">
[hypergeometric-distribution]: https://en.wikipedia.org/wiki/Hypergeometric_distribution
<!-- <toc-links> -->
[@stdlib/stats/base/dists/hypergeometric/ctor]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/hypergeometric/ctor
[@stdlib/stats/base/dists/hypergeometric/kurtosis]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/hypergeometric/kurtosis
[@stdlib/stats/base/dists/hypergeometric/mean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/hypergeometric/mean
[@stdlib/stats/base/dists/hypergeometric/mode]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/hypergeometric/mode
[@stdlib/stats/base/dists/hypergeometric/skewness]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/hypergeometric/skewness
[@stdlib/stats/base/dists/hypergeometric/stdev]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/hypergeometric/stdev
[@stdlib/stats/base/dists/hypergeometric/variance]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/hypergeometric/variance
[@stdlib/stats/base/dists/hypergeometric/cdf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/hypergeometric/cdf
[@stdlib/stats/base/dists/hypergeometric/logpmf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/hypergeometric/logpmf
[@stdlib/stats/base/dists/hypergeometric/pmf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/hypergeometric/pmf
[@stdlib/stats/base/dists/hypergeometric/quantile]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/hypergeometric/quantile
<!-- </toc-links> -->
</section>
<!-- /.links -->