Usage

`javascript
var Triangular = require( '@stdlib/stats-base-dists-triangular-ctor' );
`

#### Triangular( \[a, b, c] )

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

`javascript
var triangular = new Triangular();

var mu = triangular.mean;
// returns 0.5
`

By default, a = 0.0, b = 1.0, and c = 0.5. To create a distribution having a different a (minimum support), b (maximum support), and c (mode), provide the corresponding arguments.

`javascript
var triangular = new Triangular( 2.0, 4.0, 3.5 );

var mu = triangular.mean;
// returns ~3.167
`

*

triangular

An [triangular][triangular-distribution] distribution object has the following properties and methods...

$3

#### triangular.a

Minimum support of the distribution. a must be a number smaller than or equal to b and c.

`javascript
var triangular = new Triangular();

var a = triangular.a;
// returns 0.0

triangular.a = 0.5;

a = triangular.a;
// returns 0.5
`

#### triangular.b

Maximum support of the distribution. b must be a number larger than or equal to a and c.

`javascript
var triangular = new Triangular( 2.0, 4.0, 2.5 );

var b = triangular.b;
// returns 4.0

triangular.b = 3.0;

b = triangular.b;
// returns 3.0
`

#### triangular.c

Mode of the distribution. c must be a number larger than or equal to a and smaller than or equal to b.

`javascript
var triangular = new Triangular( 2.0, 5.0, 4.0 );

var c = triangular.c;
// returns 4.0

triangular.c = 3.0;

c = triangular.c;
// returns 3.0
`

*

$3

#### Triangular.prototype.entropy

Returns the [differential entropy][entropy].

`javascript
var triangular = new Triangular( 4.0, 12.0, 10.0 );

var entropy = triangular.entropy;
// returns ~1.886
`

#### Triangular.prototype.kurtosis

Returns the [excess kurtosis][kurtosis].

`javascript
var triangular = new Triangular( 4.0, 12.0, 10.0 );

var kurtosis = triangular.kurtosis;
// returns -0.6
`

#### Triangular.prototype.mean

Returns the [expected value][expected-value].

`javascript
var triangular = new Triangular( 4.0, 12.0, 10.0 );

var mu = triangular.mean;
// returns ~8.667
`

#### Triangular.prototype.median

Returns the [median][median].

`javascript
var triangular = new Triangular( 4.0, 12.0, 10.0 );

var median = triangular.median;
// returns ~8.899
`

#### Triangular.prototype.mode

Returns the [mode][mode].

`javascript
var triangular = new Triangular( 4.0, 12.0, 10.0 );

var mode = triangular.mode;
// returns 10.0
`

#### Triangular.prototype.skewness

Returns the [skewness][skewness].

`javascript
var triangular = new Triangular( 4.0, 12.0, 10.0 );

var skewness = triangular.skewness;
// returns ~-0.422
`

#### Triangular.prototype.stdev

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

`javascript
var triangular = new Triangular( 4.0, 12.0, 10.0 );

var s = triangular.stdev;
// returns ~1.7
`

#### Triangular.prototype.variance

Returns the [variance][variance].

`javascript
var triangular = new Triangular( 4.0, 12.0, 10.0 );

var s2 = triangular.variance;
// returns ~2.889
`

*

$3

#### Triangular.prototype.cdf( x )

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

`javascript
var triangular = new Triangular( 2.0, 4.0, 3.0 );

var y = triangular.cdf( 2.5 );
// returns 0.125
`

#### Triangular.prototype.logcdf( x )

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

`javascript
var triangular = new Triangular( 2.0, 4.0, 3.0 );

var y = triangular.logcdf( 2.5 );
// returns ~-2.079
`

#### Triangular.prototype.logpdf( x )

Evaluates the natural logarithm of the [probability density function][pdf] (PDF).

`javascript
var triangular = new Triangular( 2.0, 4.0, 3.0 );

var y = triangular.logpdf( 2.5 );
// returns ~-0.693
`

#### Triangular.prototype.pdf( x )

Evaluates the [probability density function][pdf] (PDF).

`javascript
var triangular = new Triangular( 2.0, 4.0, 3.0 );

var y = triangular.pdf( 2.5 );
// returns 0.5
`

#### Triangular.prototype.quantile( p )

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

`javascript
var triangular = new Triangular( 2.0, 4.0, 3.0 );

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

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