@stdlib/stats
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Standard library statistical functions.
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# Cauchy
> Cauchy distribution constructor.
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## Usage
```javascript
var Cauchy = require( '@stdlib/stats/base/dists/cauchy/ctor' );
```
#### Cauchy( \[x0, gamma] )
Returns a [Cauchy][cauchy-distribution] distribution object.
```javascript
var cauchy = new Cauchy();
var median = cauchy.median;
// returns 0.0
```
By default, `x0 = 0.0` and `gamma = 1.0`. To create a distribution having a different `x0` (location parameter) and `gamma` (scale parameter), provide the corresponding arguments.
```javascript
var cauchy = new Cauchy( 2.0, 4.0 );
var median = cauchy.median;
// returns 2.0
```
* * *
## cauchy
A [Cauchy][cauchy-distribution] distribution object has the following properties and methods...
### Writable Properties
#### cauchy.x0
Location parameter of the distribution.
```javascript
var cauchy = new Cauchy();
var x0 = cauchy.x0;
// returns 0.0
cauchy.x0 = 3.0;
x0 = cauchy.x0;
// returns 3.0
```
#### cauchy.gamma
Scale parameter of the distribution. `gamma` **must** be a positive number.
```javascript
var cauchy = new Cauchy( 2.0, 4.0 );
var gamma = cauchy.gamma;
// returns 4.0
cauchy.gamma = 3.0;
gamma = cauchy.gamma;
// returns 3.0
```
* * *
### Computed Properties
#### Cauchy.prototype.entropy
Returns the [differential entropy][entropy].
```javascript
var cauchy = new Cauchy( 4.0, 12.0 );
var entropy = cauchy.entropy;
// returns ~5.016
```
#### Cauchy.prototype.median
Returns the [median][median].
```javascript
var cauchy = new Cauchy( 4.0, 12.0 );
var median = cauchy.median;
// returns 4.0
```
#### Cauchy.prototype.mode
Returns the [mode][mode].
```javascript
var cauchy = new Cauchy( 4.0, 12.0 );
var mode = cauchy.mode;
// returns 4.0
```
* * *
### Methods
#### Cauchy.prototype.cdf( x )
Evaluates the [cumulative distribution function][cdf] (CDF).
```javascript
var cauchy = new Cauchy( 2.0, 4.0 );
var y = cauchy.cdf( 0.5 );
// returns ~0.386
```
#### Cauchy.prototype.logcdf( x )
Evaluates the natural logarithm of the [cumulative distribution function][cdf] (CDF).
```javascript
var cauchy = new Cauchy( 2.0, 4.0 );
var y = cauchy.logcdf( 0.5 );
// returns ~-0.952
```
#### Cauchy.prototype.logpdf( x )
Evaluates the natural logarithm of the [probability density function][pdf] (PDF).
```javascript
var cauchy = new Cauchy( 2.0, 4.0 );
var y = cauchy.logpdf( 0.8 );
// returns ~-2.617
```
#### Cauchy.prototype.pdf( x )
Evaluates the [probability density function][pdf] (PDF).
```javascript
var cauchy = new Cauchy( 2.0, 4.0 );
var y = cauchy.pdf( 0.8 );
// returns ~0.073
```
#### Cauchy.prototype.quantile( p )
Evaluates the [quantile function][quantile-function] at probability `p`.
```javascript
var cauchy = new Cauchy( 2.0, 4.0 );
var y = cauchy.quantile( 0.5 );
// returns 2.0
y = cauchy.quantile( 1.9 );
// returns NaN
```
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* * *
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## Examples
<!-- eslint no-undef: "error" -->
```javascript
var Cauchy = require( '@stdlib/stats/base/dists/cauchy/ctor' );
var cauchy = new Cauchy( 2.0, 4.0 );
var entropy = cauchy.entropy;
// returns ~3.917
var median = cauchy.median;
// returns 2.0
var mode = cauchy.mode;
// returns 2.0
var y = cauchy.cdf( 0.8 );
// returns ~0.407
```
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[cauchy-distribution]: https://en.wikipedia.org/wiki/Cauchy_distribution
[cdf]: https://en.wikipedia.org/wiki/Cumulative_distribution_function
[pdf]: https://en.wikipedia.org/wiki/Probability_density_function
[quantile-function]: https://en.wikipedia.org/wiki/Quantile_function
[entropy]: https://en.wikipedia.org/wiki/Entropy_%28information_theory%29
[median]: https://en.wikipedia.org/wiki/Median
[mode]: https://en.wikipedia.org/wiki/Mode_%28statistics%29
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