
{{alias}}( x, μ, σ )
    Evaluates the natural logarithm of the cumulative distribution function
    (CDF) for a lognormal distribution with mean `μ` and standard deviation `σ`
    at a value `x`.

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

    If provided `σ < 0`, the function returns `NaN`.

    Parameters
    ----------
    x: number
        Input value.

    μ: number
        Location parameter.

    σ: number
        Standard deviation.

    Returns
    -------
    out: number
        Evaluated logcdf.

    Examples
    --------
    > var y = {{alias}}( 2.0, 0.0, 1.0 )
    ~-0.2799
    > y = {{alias}}( 13.0, 4.0, 2.0 )
    ~-1.442
    > y = {{alias}}( NaN, 0.0, 1.0 )
    NaN
    > y = {{alias}}( 0.0, NaN, 1.0 )
    NaN
    > y = {{alias}}( 0.0, 0.0, NaN )
    NaN

    // Negative standard deviation:
    > y = {{alias}}( 2.0, 0.0, -1.0 )
    NaN

    // Degenerate distribution centered at `μ` when `σ = 0.0`:
    > y = {{alias}}( 2.0, 8.0, 0.0 )
    -Infinity
    > y = {{alias}}( 8.0, 8.0, 0.0 )
    -Infinity


{{alias}}.factory( μ, σ )
    Returns a function for evaluating the natural logarithm of the cumulative
    distribution function (CDF) of a lognormal distribution with mean `μ` and
    standard deviation `σ`.

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

    σ: number
        Standard deviation.

    Returns
    -------
    logcdf: Function
        Logarithm of cumulative distribution function (CDF).

    Examples
    --------
    > var mylogcdf = {{alias}}.factory( 10.0, 2.0 );
    > var y = mylogcdf( 10.0 )
    ~-9.732

    See Also
    --------

