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# Geometric

> Geometric distribution constructor.

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## Usage

```javascript
var Geometric = require( '@stdlib/stats/base/dists/geometric/ctor' );
```

#### Geometric( \[p] )

Returns a [geometric][geometric-distribution] distribution object.

```javascript
var geometric = new Geometric();

var mean = geometric.mean;
// returns 1.0
```

By default, `p = 0.5`. To create a distribution having a different success probability `p`, provide a parameter value.

```javascript
var geometric = new Geometric( 0.2 );

var mean = geometric.mean;
// returns 4.0
```

* * *

## geometric

A [geometric][geometric-distribution] distribution object has the following properties and methods...

### Writable Properties

#### geometric.p

Success probability of the distribution. `p` **must** be a probability.

```javascript
var geometric = new Geometric( 0.2 );

var p = geometric.p;
// returns 0.2

geometric.p = 0.3;

p = geometric.p;
// returns 0.3
```

* * *

### Computed Properties

#### Geometric.prototype.entropy

Returns the [differential entropy][entropy].

```javascript
var geometric = new Geometric( 0.4 );

var entropy = geometric.entropy;
// returns ~1.683
```

#### Geometric.prototype.kurtosis

Returns the [excess kurtosis][kurtosis].

```javascript
var geometric = new Geometric( 0.4 );

var kurtosis = geometric.kurtosis;
// returns ~6.267
```

#### Geometric.prototype.mean

Returns the [median][expected-value].

```javascript
var geometric = new Geometric( 0.4 );

var mu = geometric.mean;
// returns ~1.5
```

#### Geometric.prototype.median

Returns the [median][median].

```javascript
var geometric = new Geometric( 0.4 );

var median = geometric.median;
// returns 1.0
```

#### Geometric.prototype.mode

Returns the [mode][mode].

```javascript
var geometric = new Geometric( 0.4 );

var mode = geometric.mode;
// returns 0.0
```

#### Geometric.prototype.skewness

Returns the [skewness][skewness].

```javascript
var geometric = new Geometric( 0.4 );

var skewness = geometric.skewness;
// returns ~2.066
```

#### Geometric.prototype.stdev

Returns the [standard deviation][standard-deviation].

```javascript
var geometric = new Geometric( 0.4 );

var s = geometric.stdev;
// returns ~1.936
```

#### Geometric.prototype.variance

Returns the [variance][variance].

```javascript
var geometric = new Geometric( 0.4 );

var s2 = geometric.variance;
// returns ~3.75
```

* * *

### Methods

#### Geometric.prototype.cdf( x )

Evaluates the [cumulative distribution function][cdf] (CDF).

```javascript
var geometric = new Geometric( 0.2 );

var y = geometric.cdf( 0.5 );
// returns ~0.2
```

#### Geometric.prototype.logcdf( x )

Evaluates the natural logarithm of the [cumulative distribution function][cdf] (logCDF).

```javascript
var geometric = new Geometric( 0.2 );

var y = geometric.logcdf( 0.5 );
// returns ~-1.609
```

#### Geometric.prototype.logpmf( x )

Evaluates the natural logarithm of the [probability mass function][pmf] (logPMF).

```javascript
var geometric = new Geometric( 0.2 );

var y = geometric.logpmf( 3.0 );
// returns ~-2.279

y = geometric.logpmf( 2.3 );
// returns -Infinity
```

#### Geometric.prototype.mgf( t )

Evaluates the [moment-generating function][mgf] (MGF).

```javascript
var geometric = new Geometric( 0.2 );

var y = geometric.mgf( 0.1 );
// returns ~1.908
```

#### Geometric.prototype.pmf( x )

Evaluates the [probability mass function][pmf] (PMF).

```javascript
var geometric = new Geometric( 0.2 );

var y = geometric.pmf( 3.0 );
// returns ~0.102

y = geometric.pmf( 2.3 );
// returns 0.0
```

#### Geometric.prototype.quantile( p )

Evaluates the [quantile function][quantile-function] at probability `p`.

```javascript
var geometric = new Geometric( 0.2 );

var y = geometric.quantile( 0.5 );
// returns 3.0

y = geometric.quantile( 1.9 );
// returns NaN
```

</section>

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* * *

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## Examples

<!-- eslint no-undef: "error" -->

```javascript
var Geometric = require( '@stdlib/stats/base/dists/geometric/ctor' );

var geometric = new Geometric( 0.5 );

var mu = geometric.mean;
// returns 1.0

var mode = geometric.mode;
// returns 0.0

var s2 = geometric.variance;
// returns 2.0

var y = geometric.cdf( 2.0 );
// returns 0.875
```

</section>

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</section>

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<section class="links">

[geometric-distribution]: https://en.wikipedia.org/wiki/Geometric_distribution

[cdf]: https://en.wikipedia.org/wiki/Cumulative_distribution_function

[mgf]: https://en.wikipedia.org/wiki/Moment-generating_function

[pmf]: https://en.wikipedia.org/wiki/Probability_mass_function

[quantile-function]: https://en.wikipedia.org/wiki/Quantile_function

[entropy]: https://en.wikipedia.org/wiki/Entropy_%28information_theory%29

[expected-value]: https://en.wikipedia.org/wiki/Expected_value

[kurtosis]: https://en.wikipedia.org/wiki/Kurtosis

[median]: https://en.wikipedia.org/wiki/Median

[mode]: https://en.wikipedia.org/wiki/Mode_%28statistics%29

[skewness]: https://en.wikipedia.org/wiki/Skewness

[standard-deviation]: https://en.wikipedia.org/wiki/Standard_deviation

[variance]: https://en.wikipedia.org/wiki/Variance

</section>

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