
{{alias}}( p, N, K, n )
    Evaluates the quantile function for a hypergeometric distribution with
    population size `N`, subpopulation size `K`, and number of draws `n` 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 provided a population size `N`, subpopulation size `K` or draws `n` which
    is not a nonnegative integer, the function returns `NaN`.

    If the number of draws `n` or the subpopulation size `K` exceed population
    size `N`, the function returns `NaN`.

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

    N: integer
        Population size.

    K: integer
        Subpopulation size.

    n: integer
        Number of draws.

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

    Examples
    --------
    > var y = {{alias}}( 0.4, 40, 20, 10 )
    5
    > y = {{alias}}( 0.8, 60, 40, 20 )
    15
    > y = {{alias}}( 0.5, 100, 10, 10 )
    1
    > y = {{alias}}( 0.0, 100, 40, 20 )
    0
    > y = {{alias}}( 1.0, 100, 40, 20 )
    20

    > y = {{alias}}( NaN, 40, 20, 10 )
    NaN
    > y = {{alias}}( 0.2, NaN, 20, 10 )
    NaN
    > y = {{alias}}( 0.2, 40, NaN, 10 )
    NaN
    > y = {{alias}}( 0.2, 40, 20, NaN )
    NaN


{{alias}}.factory( N, K, n )
    Returns a function for evaluating the quantile function of a hypergeometric
    distribution with population size `N`, subpopulation size `K`, and number of
    draws `n`.

    Parameters
    ----------
    N: integer
        Population size.

    K: integer
        Subpopulation size.

    n: integer
        Number of draws.

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

    Examples
    --------
    > var myQuantile = {{alias}}.factory( 100, 20, 10 );
    > var y = myQuantile( 0.2 )
    1
    > y = myQuantile( 0.9 )
    4

    See Also
    --------

