
{{alias}}( x, μ, s )
    Evaluates the logarithm of the probability density function (PDF) for a
    logistic distribution with location parameter `μ` and scale parameter `s` at
    a value `x`.

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

    If provided `s < 0`, the function returns `NaN`.

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

    μ: number
        Location parameter.

    s: number
        Scale parameter.

    Returns
    -------
    out: number
        Evaluated logPDF.

    Examples
    --------
    > var y = {{alias}}( 2.0, 0.0, 1.0 )
    ~-2.254
    > y = {{alias}}( -1.0, 4.0, 2.0 )
    ~-3.351
    > y = {{alias}}( NaN, 0.0, 1.0 )
    NaN
    > y = {{alias}}( 0.0, NaN, 1.0 )
    NaN
    > y = {{alias}}( 0.0, 0.0, NaN )
    NaN

    // Negative scale parameter:
    > y = {{alias}}( 2.0, 0.0, -1.0 )
    NaN

    // Degenerate distribution at `s = 0.0`:
    > y = {{alias}}( 2.0, 8.0, 0.0 )
    -Infinity
    > y = {{alias}}( 8.0, 8.0, 0.0 )
    Infinity


{{alias}}.factory( μ, s )
    Returns a function for evaluating the logarithm of the probability density
    function (PDF) of a Logistic distribution with location parameter `μ` and
    scale parameter `s`.

    Parameters
    ----------
    μ: number
        Location parameter.

    s: number
        Scale parameter.

    Returns
    -------
    logpdf: Function
        Logarithm of probability density function (PDF).

    Examples
    --------
    > var mylogpdf = {{alias}}.factory( 10.0, 2.0 );
    > var y = mylogpdf( 10.0 )
    ~-2.079

    See Also
    --------

