
{{alias}}( p, a, b )
    Evaluates the quantile function for a Kumaraswamy's double bounded
    distribution with first shape parameter `a` and second shape parameter `b`
    at a probability `p`.

    If `p < 0` or `p > 1`, the function returns `NaN`.

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

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

    Parameters
    ----------
    p: number
        Input probability.

    a: number
        First shape parameter.

    b: number
        Second shape parameter.

    Returns
    -------
    out: number
        Evaluated quantile function.

    Examples
    --------
    > var y = {{alias}}( 0.5, 1.0, 1.0 )
    0.5
    > y = {{alias}}( 0.5, 2.0, 4.0 )
    ~0.399
    > y = {{alias}}( 0.2, 2.0, 2.0 )
    ~0.325
    > y = {{alias}}( 0.8, 4.0, 4.0 )
    ~0.759

    > y = {{alias}}( -0.5, 4.0, 2.0 )
    NaN
    > y = {{alias}}( 1.5, 4.0, 2.0 )
    NaN

    > 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 quantile function 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
    -------
    quantile: Function
        Quantile function.

    Examples
    --------
    > var myQuantile = {{alias}}.factory( 0.5, 1.0 );
    > var y = myQuantile( 0.8 )
    ~0.64
    > y = myQuantile( 0.3 )
    ~0.09

    See Also
    --------

