
{{alias}}( p, α, β )
    Evaluates the quantile function for a gamma distribution with shape
    parameter `α` and rate parameter `β` at a probability `p`.

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

    If `α < 0` or `β <= 0`, the function returns `NaN`.

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

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

    α: number
        Shape parameter.

    β: number
        Rate parameter.

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

    Examples
    --------
    > var y = {{alias}}( 0.8, 2.0, 1.0 )
    ~2.994
    > y = {{alias}}( 0.5, 4.0, 2.0 )
    ~1.836

    > y = {{alias}}( 1.1, 1.0, 1.0 )
    NaN
    > y = {{alias}}( -0.2, 1.0, 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

    // Non-positive shape parameter:
    > y = {{alias}}( 0.5, -1.0, 1.0 )
    NaN
    // Non-positive rate parameter:
    > y = {{alias}}( 0.5, 1.0, -1.0 )
    NaN

    // Degenerate distribution centered at `0.0` when `α = 0.0`:
    > y = {{alias}}( 0.3, 0.0, 2.0 )
    0.0
    > y = {{alias}}( 0.9, 0.0, 2.0 )
    0.0


{{alias}}.factory( α, β )
    Returns a function for evaluating the quantile function of a gamma
    distribution with shape parameter `α` and rate parameter `β`.

    Parameters
    ----------
    α: number
        Shape parameter.

    β: number
        Rate parameter.

    Returns
    -------
    quantile: Function
        Quantile function.

    Examples
    --------
    > var myQuantile = {{alias}}.factory( 2.0, 2.0 );
    > var y = myQuantile( 0.8 )
    ~1.497
    > y = myQuantile( 0.4 )
    ~0.688

    See Also
    --------

