
{{alias}}( [μ, s] )
    Returns a raised cosine distribution object.

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

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

    Returns
    -------
    cosine: Object
        Distribution instance.

    cosine.mu: number
        Location parameter.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Examples
    --------
    > var cosine = {{alias}}( -2.0, 3.0 );
    > cosine.mu
    -2.0
    > cosine.s
    3.0
    > cosine.kurtosis
    ~-0.594
    > cosine.mean
    -2.0
    > cosine.median
    -2.0
    > cosine.mode
    -2.0
    > cosine.skewness
    0.0
    > cosine.stdev
    ~1.085
    > cosine.variance
    ~1.176
    > cosine.cdf( 0.5 )
    ~0.996
    > cosine.logcdf( 0.5 )
    ~-0.004
    > cosine.logpdf( -1.0 )
    ~-1.386
    > cosine.mgf( 0.2 )
    ~0.686
    > cosine.pdf( -2.0 )
    ~0.333
    > cosine.quantile( 0.9 )
    ~-0.553

    See Also
    --------

