
{{alias}}( x, a, b )
    Evaluates the cumulative distribution function (CDF) for Kumaraswamy's
    double bounded distribution with first shape parameter `a` and second shape
    parameter `b` at a value `x`.

    If provided `NaN` as any argument, the function returns `NaN`.

    If `a <= 0` or `b <= 0`, the function returns `NaN`.

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

    a: number
        First shape parameter.

    b: number
        Second shape parameter.

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

    Examples
    --------
    > var y = {{alias}}( 0.5, 1.0, 1.0 )
    ~0.5
    > y = {{alias}}( 0.5, 2.0, 4.0 )
    ~0.684
    > y = {{alias}}( 0.2, 2.0, 2.0 )
    ~0.078
    > y = {{alias}}( 0.8, 4.0, 4.0 )
    ~0.878
    > y = {{alias}}( -0.5, 4.0, 2.0 )
    0.0
    > y = {{alias}}( 1.5, 4.0, 2.0 )
    1.0

    > y = {{alias}}( 2.0, -1.0, 0.5 )
    NaN
    > y = {{alias}}( 2.0, 0.5, -1.0 )
    NaN

    > y = {{alias}}( NaN, 1.0, 1.0 )
    NaN
    > y = {{alias}}( 0.0, NaN, 1.0 )
    NaN
    > y = {{alias}}( 0.0, 1.0, NaN )
    NaN


{{alias}}.factory( a, b )
    Returns a function for evaluating the cumulative distribution function (CDF)
    of a Kumaraswamy's double bounded distribution with first shape parameter
    `a` and second shape parameter `b`.

    Parameters
    ----------
    a: number
        First shape parameter.

    b: number
        Second shape parameter.

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

    Examples
    --------
    > var mycdf = {{alias}}.factory( 0.5, 1.0 );
    > var y = mycdf( 0.8 )
    ~0.894
    > y = mycdf( 0.3 )
    ~0.548

    See Also
    --------

