
{{alias}}( x, μ, σ )
    Evaluates the natural logarithm of the probability density function (PDF)
    for a normal distribution with mean `μ` and standard deviation `σ` at a
    value `x`.

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

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

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

    μ: number
        Location parameter.

    σ: number
        Standard deviation.

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

    Examples
    --------
    > var y = {{alias}}( 2.0, 0.0, 1.0 )
    ~-2.919
    > y = {{alias}}( -1.0, 4.0, 2.0 )
    ~-4.737
    > 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 standard deviation:
    > y = {{alias}}( 2.0, 0.0, -1.0 )
    NaN

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


{{alias}}.factory( μ, σ )
    Returns a function for evaluating the natural logarithm of the probability
    density function (PDF) of a normal distribution with mean `μ` and standard
    deviation `σ`.

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

    σ: number
        Standard deviation.

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

    Examples
    --------
    > var myLogPDF = {{alias}}.factory( 10.0, 2.0 );
    > var y = myLogPDF( 10.0 )
    ~-1.612

    See Also
    --------

