
{{alias}}( [α, s, m] )
    Returns a Fréchet distribution object.

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

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

    m: number (optional)
        Location parameter. Default: `0.0`.

    Returns
    -------
    frechet: Object
        Distribution instance.

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

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

    frechet.m: number
        Location parameter.

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

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

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

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

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

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

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

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

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

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

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

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

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

    Examples
    --------
    > var frechet = {{alias}}( 1.0, 1.0, 0.0 );
    > frechet.alpha
    1.0
    > frechet.s
    1.0
    > frechet.m
    0.0
    > frechet.entropy
    ~2.154
    > frechet.kurtosis
    Infinity
    > frechet.mean
    Infinity
    > frechet.median
    ~1.443
    > frechet.mode
    0.5
    > frechet.skewness
    Infinity
    > frechet.stdev
    Infinity
    > frechet.variance
    Infinity
    > frechet.cdf( 0.8 )
    ~0.287
    > frechet.logcdf( 0.8 )
    -1.25
    > frechet.logpdf( 0.8 )
    ~-0.804
    > frechet.pdf( 0.8 )
    ~0.448
    > frechet.quantile( 0.8 )
    ~4.481

    See Also
    --------

