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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 -->