
{{alias}}( [α, β] )
    Returns an inverse gamma distribution object.

    Parameters
    ----------
    α: number (optional)
        Shape parameter. Must be greater than `0`. Default: `1.0`.

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

    Returns
    -------
    invgamma: Object
        Distribution instance.

    invgamma.alpha: number
        Shape parameter. If set, the value must be greater than `0`.

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

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

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

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

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

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

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

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

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

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

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

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

    Examples
    --------
    > var invgamma = {{alias}}( 6.0, 5.0 );
    > invgamma.alpha
    6.0
    > invgamma.beta
    5.0
    > invgamma.entropy
    ~0.454
    > invgamma.kurtosis
    19.0
    > invgamma.mean
    1.0
    > invgamma.mode
    ~0.714
    > invgamma.skewness
    ~2.667
    > invgamma.stdev
    0.5
    > invgamma.variance
    0.25
    > invgamma.cdf( 0.8 )
    ~0.406
    > invgamma.pdf( 1.0 )
    ~0.877
    > invgamma.logpdf( 1.0 )
    ~-0.131
    > invgamma.quantile( 0.8 )
    ~1.281

    See Also
    --------

