
{{alias}}( p, μ, σ )
    Evaluates the quantile function for a lognormal distribution with location
    parameter `μ` and scale parameter `σ` 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 `σ <= 0`, the function returns `NaN`.

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

    μ: number
        Location parameter.

    σ: number
        Scale parameter.

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

    Examples
    --------
    > var y = {{alias}}( 0.8, 0.0, 1.0 )
    ~2.32
    > y = {{alias}}( 0.5, 4.0, 2.0 )
    ~54.598
    > y = {{alias}}( 1.1, 0.0, 1.0 )
    NaN
    > y = {{alias}}( -0.2, 0.0, 1.0 )
    NaN

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

    // Non-positive scale parameter `σ`:
    > y = {{alias}}( 0.5, 0.0, -1.0 )
    NaN
    > y = {{alias}}( 0.5, 0.0, 0.0 )
    NaN


{{alias}}.factory( μ, σ )
    Returns a function for evaluating the quantile function of a lognormal
    distribution with location parameter `μ` and scale parameter `σ`.

    Parameters
    ----------
    μ: number
        Location parameter.

    σ: number
        Scale parameter.

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

    Examples
    --------
    > var myQuantile = {{alias}}.factory( 4.0, 2.0 );
    > var y = myQuantile( 0.2 )
    ~10.143
    > y = myQuantile( 0.8 )
    ~293.901

    See Also
    --------

