
{{alias}}( [α, β] )
    Returns a beta prime distribution object.

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

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

    Returns
    -------
    betaprime: Object
        Distribution instance.

    betaprime.alpha: number
        First shape parameter. If set, the value must be greater than `0`.

    betaprime.beta: number
        Second shape parameter. If set, the value must be greater than `0`.

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

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

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

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

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

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

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

    betaprime.logcdf: Function
        Evaluates the natural logarithm of the cumulative distribution function
        (CDF).

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

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

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

    Examples
    --------
    > var betaprime = {{alias}}( 6.0, 5.0 );
    > betaprime.alpha
    6.0
    > betaprime.beta
    5.0
    > betaprime.kurtosis
    44.4
    > betaprime.mean
    1.5
    > betaprime.mode
    ~0.833
    > betaprime.skewness
    ~3.578
    > betaprime.stdev
    ~1.118
    > betaprime.variance
    1.25
    > betaprime.cdf( 0.8 )
    ~0.25
    > betaprime.logcdf( 0.8 )
    ~-1.387
    > betaprime.logpdf( 1.0 )
    ~-0.486
    > betaprime.pdf( 1.0 )
    ~0.615
    > betaprime.quantile( 0.8 )
    ~2.06

    See Also
    --------

