## Usage
```javascript
var arcsine = require( '@stdlib/stats/base/dists/arcsine' );
```
#### arcsine
[Arcsine][arcsine-distribution] distribution.
```javascript
var dist = arcsine;
// returns {...}
```
The namespace contains the following distribution functions:
- [`cdf( x, a, b )`][@stdlib/stats/base/dists/arcsine/cdf]: arcsine distribution cumulative distribution function.
- [`logcdf( x, a, b )`][@stdlib/stats/base/dists/arcsine/logcdf]: arcsine distribution logarithm of cumulative distribution function.
- [`logpdf( x, a, b )`][@stdlib/stats/base/dists/arcsine/logpdf]: arcsine distribution logarithm of probability density function (PDF).
- [`pdf( x, a, b )`][@stdlib/stats/base/dists/arcsine/pdf]: arcsine distribution probability density function (PDF).
- [`quantile( p, a, b )`][@stdlib/stats/base/dists/arcsine/quantile]: arcsine distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
- [`entropy( a, b )`][@stdlib/stats/base/dists/arcsine/entropy]: arcsine distribution differential entropy.
- [`kurtosis( a, b )`][@stdlib/stats/base/dists/arcsine/kurtosis]: arcsine distribution excess kurtosis.
- [`mean( a, b )`][@stdlib/stats/base/dists/arcsine/mean]: arcsine distribution expected value.
- [`median( a, b )`][@stdlib/stats/base/dists/arcsine/median]: arcsine distribution median.
- [`mode( a, b )`][@stdlib/stats/base/dists/arcsine/mode]: arcsine distribution mode.
- [`skewness( a, b )`][@stdlib/stats/base/dists/arcsine/skewness]: arcsine distribution skewness.
- [`stdev( a, b )`][@stdlib/stats/base/dists/arcsine/stdev]: arcsine distribution standard deviation.
- [`variance( a, b )`][@stdlib/stats/base/dists/arcsine/variance]: arcsine distribution variance.
The namespace contains a constructor function for creating an [arcsine][arcsine-distribution] distribution object.
- [`Arcsine( [a, b] )`][@stdlib/stats/base/dists/arcsine/ctor]: arcsine distribution constructor.
```javascript
var Arcsine = require( '@stdlib/stats/base/dists/arcsine' ).Arcsine;
var dist = new Arcsine( 2.0, 4.0 );
var mu = dist.mean;
// returns 3.0
```