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

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

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

    Returns
    -------
    gamma: Object
        Distribution instance.

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

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

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

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

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

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

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

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

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

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

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

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

    gamma.mgf: Function
        Evaluates the moment-generating function (MGF).

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

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

    Examples
    --------
    > var gamma = {{alias}}( 6.0, 5.0 );
    > gamma.alpha
    6.0
    > gamma.beta
    5.0
    > gamma.entropy
    ~0.647
    > gamma.kurtosis
    1.0
    > gamma.mean
    1.2
    > gamma.mode
    1.0
    > gamma.skewness
    ~0.816
    > gamma.stdev
    ~0.49
    > gamma.variance
    0.24
    > gamma.cdf( 0.8 )
    ~0.215
    > gamma.logcdf( 0.8 )
    ~-1.538
    > gamma.logpdf( 1.0 )
    ~-0.131
    > gamma.mgf( -0.5 )
    ~0.564
    > gamma.pdf( 1.0 )
    ~0.877
    > gamma.quantile( 0.8 )
    ~1.581

    See Also
    --------

