
{{alias}}( x, a, b, c )
    Evaluates the cumulative distribution function (CDF) for a triangular
    distribution with minimum support `a`, maximum support `b`, and mode `c` at
    a value `x`.

    If the condition `a <= c <= b` is not satisfied, the function returns `NaN`.

    If either `a`, `b`, or `c` is `NaN`, the function returns `NaN`.

    Parameters
    ----------
    x: number
        Input value.

    a: number
        Minimum support.

    b: number
        Maximum support.

    c: number
        Mode.

    Returns
    -------
    out: number
        Evaluated CDF.

    Examples
    --------
    > var y = {{alias}}( 0.5, -1.0, 1.0, 0.0 )
    0.875
    > y = {{alias}}( 0.5, -1.0, 1.0, 0.5 )
    0.75
    > y = {{alias}}( -10.0, -20.0, 0.0, -2.0 )
    ~0.278
    > y = {{alias}}( -2.0, -1.0, 1.0, 0.0 )
    0.0
    > y = {{alias}}( NaN, 0.0, 1.0, 0.5 )
    NaN
    > y = {{alias}}( 0.0, NaN, 1.0, 0.5 )
    NaN
    > y = {{alias}}( 0.0, 0.0, NaN, 0.5 )
    NaN
    > y = {{alias}}( 2.0, 1.0, 0.0, NaN )
    NaN
    > y = {{alias}}( 2.0, 1.0, 0.0, 1.5 )
    NaN


{{alias}}.factory( a, b, c )
    Returns a function for evaluating the cumulative distribution function (CDF)
    of a triangular distribution with minimum support `a`, maximum support `b`,
    and mode `c`.

    Parameters
    ----------
    a: number
        Minimum support.

    b: number
        Maximum support.

    c: number
        Mode.

    Returns
    -------
    cdf: Function
        Cumulative distribution function (CDF).

    Examples
    --------
    > var mycdf = {{alias}}.factory( 0.0, 10.0, 2.0 );
    > var y = mycdf( 0.5 )
    0.0125
    > y = mycdf( 8.0 )
    0.95

    See Also
    --------


