
{{alias}}( x, α, β )
    Evaluates the natural logarithm of the cumulative distribution function
    (CDF) for a Pareto (Type I) distribution with shape parameter `α` and scale
    parameter `β` at a value `x`.

    If provided `NaN` as any argument, the function returns `NaN`.

    If `α <= 0` or `β <= 0`, the function returns `NaN`.

    Parameters
    ----------
    x: number
        Input value.

    α: number
        Shape parameter.

    β: number
        Scale parameter.

    Returns
    -------
    out: number
        Evaluated logCDF.

    Examples
    --------
    > var y = {{alias}}( 2.0, 1.0, 1.0 )
    ~-0.693
    > y = {{alias}}( 5.0, 2.0, 4.0 )
    ~-1.022
    > y = {{alias}}( 4.0, 2.0, 2.0 )
    ~-0.288
    > y = {{alias}}( 1.9, 2.0, 2.0 )
    -Infinity
    > y = {{alias}}( {{alias:@stdlib/constants/float64/pinf}}, 4.0, 2.0 )
    0.0

    > y = {{alias}}( 2.0, -1.0, 0.5 )
    NaN
    > y = {{alias}}( 2.0, 0.5, -1.0 )
    NaN

    > y = {{alias}}( NaN, 1.0, 1.0 )
    NaN
    > y = {{alias}}( 0.0, NaN, 1.0 )
    NaN
    > y = {{alias}}( 0.0, 1.0, NaN )
    NaN


{{alias}}.factory( α, β )
    Returns a function for evaluating the natural logarithm of the cumulative
    distribution function (CDF) of a Pareto (Type I) distribution with shape
    parameter `α` and scale parameter `β`.

    Parameters
    ----------
    α: number
        Shape parameter.

    β: number
        Scale parameter.

    Returns
    -------
    logcdf: Function
        Logarithm of cumulative distribution function (CDF).

    Examples
    --------
    > var mylogCDF = {{alias}}.factory( 10.0, 2.0 );
    > var y = mylogCDF( 3.0 )
    ~-0.017
    > y = mylogCDF( 2.5 )
    ~-0.114

    See Also
    --------

