
{{alias}}( p, λ )
    Evaluates the quantile function for a Poisson distribution with mean
    parameter `λ` 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 negative value for `λ`, the function returns `NaN`.

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

    λ: number
        Mean parameter.

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

    Examples
    --------
    > var y = {{alias}}( 0.5, 2.0 )
    2
    > y = {{alias}}( 0.9, 4.0 )
    7
    > y = {{alias}}( 0.1, 200.0 )
    182

    > y = {{alias}}( 1.1, 0.0 )
    NaN
    > y = {{alias}}( -0.2, 0.0 )
    NaN

    > y = {{alias}}( NaN, 0.5 )
    NaN
    > y = {{alias}}( 0.0, NaN )
    NaN

    // Negative mean parameter:
    > y = {{alias}}( 2.0, -1.0 )
    NaN

    // Degenerate distribution at `λ = 0`:
    > y = {{alias}}( 0.1, 0.0 )
    0.0
    > y = {{alias}}( 0.9, 0.0 )
    0.0


{{alias}}.factory( λ )
    Returns a function for evaluating the quantile function of a Poisson
    distribution with mean parameter `λ`.

    Parameters
    ----------
    λ: number
        Mean parameter.

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

    Examples
    --------
    > var myQuantile = {{alias}}.factory( 0.4 );
    > var y = myQuantile( 0.4 )
    0.0
    > y = myQuantile( 1.0 )
    Infinity

    See Also
    --------

