## Usage
```javascript
var betaprime = require( '@stdlib/stats/base/dists/betaprime' );
```
#### betaprime
Beta prime distribution.
```javascript
var dist = betaprime;
// returns {...}
```
The namespace contains the following distribution functions:
- [`cdf( x, alpha, beta )`][@stdlib/stats/base/dists/betaprime/cdf]: beta prime distribution cumulative distribution function.
- [`logcdf( x, alpha, beta )`][@stdlib/stats/base/dists/betaprime/logcdf]: evaluate the natural logarithm of the cumulative distribution function for a beta prime distribution .
- [`logpdf( x, alpha, beta )`][@stdlib/stats/base/dists/betaprime/logpdf]: beta prime distribution logarithm of probability density function (PDF).
- [`pdf( x, alpha, beta )`][@stdlib/stats/base/dists/betaprime/pdf]: beta prime distribution probability density function (PDF).
- [`quantile( p, alpha, beta )`][@stdlib/stats/base/dists/betaprime/quantile]: beta prime distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
- [`kurtosis( alpha, beta )`][@stdlib/stats/base/dists/betaprime/kurtosis]: beta prime distribution excess kurtosis.
- [`mean( alpha, beta )`][@stdlib/stats/base/dists/betaprime/mean]: beta prime distribution expected value.
- [`mode( alpha, beta )`][@stdlib/stats/base/dists/betaprime/mode]: beta prime distribution mode.
- [`skewness( alpha, beta )`][@stdlib/stats/base/dists/betaprime/skewness]: beta prime distribution skewness.
- [`stdev( alpha, beta )`][@stdlib/stats/base/dists/betaprime/stdev]: beta prime distribution standard deviation.
- [`variance( alpha, beta )`][@stdlib/stats/base/dists/betaprime/variance]: beta prime distribution variance.
The namespace contains a constructor function for creating a [betaprime][betaprime-distribution] distribution object.
- [`BetaPrime( [alpha, beta] )`][@stdlib/stats/base/dists/betaprime/ctor]: beta prime distribution constructor.
```javascript
var BetaPrime = require( '@stdlib/stats/base/dists/betaprime' ).BetaPrime;
var dist = new BetaPrime( 2.0, 4.0 );
var mu = dist.mean;
// returns ~0.667
```