## Usage
```javascript
var t = require( '@stdlib/stats/base/dists/t' );
```
#### t
Student's t distribution.
```javascript
var dist = t;
// returns {...}
```
The namespace contains the following distribution functions:
- [`cdf( x, v )`][@stdlib/stats/base/dists/t/cdf]: Student's t distribution cumulative distribution function (CDF).
- [`logcdf( x, v )`][@stdlib/stats/base/dists/t/logcdf]: evaluate the natural logarithm of the cumulative distribution function (CDF) for a Student's t distribution.
- [`logpdf( x, v )`][@stdlib/stats/base/dists/t/logpdf]: evaluate the natural logarithm of the probability density function (PDF) for a Student's t distribution.
- [`pdf( x, v )`][@stdlib/stats/base/dists/t/pdf]: Student's t distribution probability density function (PDF).
- [`quantile( p, v )`][@stdlib/stats/base/dists/t/quantile]: Student's t distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
- [`entropy( v )`][@stdlib/stats/base/dists/t/entropy]: Student's t distribution differential entropy.
- [`kurtosis( v )`][@stdlib/stats/base/dists/t/kurtosis]: Student's t distribution excess kurtosis.
- [`mean( v )`][@stdlib/stats/base/dists/t/mean]: Student's t distribution expected value.
- [`median( v )`][@stdlib/stats/base/dists/t/median]: Student's t distribution median.
- [`mode( v )`][@stdlib/stats/base/dists/t/mode]: Student's t distribution mode.
- [`skewness( v )`][@stdlib/stats/base/dists/t/skewness]: Student's t distribution skewness.
- [`stdev( v )`][@stdlib/stats/base/dists/t/stdev]: Student's t distribution variance.
- [`variance( v )`][@stdlib/stats/base/dists/t/variance]: Student's t distribution variance.
The namespace contains a constructor function for creating a [Student's t][t-distribution] distribution object.
- [`T( [v] )`][@stdlib/stats/base/dists/t/ctor]: Student's t distribution constructor.
```javascript
var T = require( '@stdlib/stats/base/dists/t' ).T;
var dist = new T( 2.0 );
var y = dist.cdf( 0.5 );
// returns ~0.667
```