
{{alias}}( [μ, σ] )
    Returns a lognormal distribution object.

    Parameters
    ----------
    μ: number (optional)
        Location parameter. Default: `0.0`.

    σ: number (optional)
        Scale parameter. Must be greater than `0`. Default: `1.0`.

    Returns
    -------
    lognormal: Object
        Distribution instance.

    lognormal.mu: number
        Location parameter.

    lognormal.sigma: number
        Scale parameter. If set, the value must be greater than `0`.

    lognormal.entropy: number
        Read-only property which returns the differential entropy.

    lognormal.kurtosis: number
        Read-only property which returns the excess kurtosis.

    lognormal.mean: number
        Read-only property which returns the expected value.

    lognormal.median: number
        Read-only property which returns the median.

    lognormal.mode: number
        Read-only property which returns the mode.

    lognormal.skewness: number
        Read-only property which returns the skewness.

    lognormal.stdev: number
        Read-only property which returns the standard deviation.

    lognormal.variance: number
        Read-only property which returns the variance.

    lognormal.cdf: Function
        Evaluates the cumulative distribution function (CDF).

    lognormal.logpdf: Function
        Evaluates the natural logarithm of the probability density function
        (PDF).

    lognormal.pdf: Function
        Evaluates the probability density function (PDF).

    lognormal.quantile: Function
        Evaluates the quantile function at probability `p`.

    Examples
    --------
    > var lognormal = {{alias}}( -2.0, 3.0 );
    > lognormal.mu
    -2.0
    > lognormal.sigma
    3.0
    > lognormal.entropy
    ~0.518
    > lognormal.kurtosis
    4312295840576300
    > lognormal.mean
    ~12.182
    > lognormal.median
    ~0.135
    > lognormal.mode
    ~0.0
    > lognormal.skewness
    ~729551.383
    > lognormal.stdev
    ~1096.565
    > lognormal.variance
    ~1202455.871
    > lognormal.cdf( 0.8 )
    ~0.723
    > lognormal.logpdf( 2.0 )
    ~-3.114
    > lognormal.pdf( 2.0 )
    ~0.044
    > lognormal.quantile( 0.9 )
    ~6.326

    See Also
    --------

