
{{alias}}( x, μ, σ )
    Evaluates the cumulative distribution function (CDF) 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 CDF.

    Examples
    --------
    > var y = {{alias}}( 2.0, 0.0, 1.0 )
    ~0.977
    > y = {{alias}}( -1.0, -1.0, 2.0 )
    0.5
    > y = {{alias}}( -1.0, 4.0, 2.0 )
    ~0.006
    > 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 )
    0.0
    > y = {{alias}}( 8.0, 8.0, 0.0 )
    1.0
    > y = {{alias}}( 10.0, 8.0, 0.0 )
    1.0


{{alias}}.factory( μ, σ )
    Returns a function for evaluating the cumulative distribution function (CDF)
    of a normal distribution with mean `μ` and standard deviation `σ`.

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

    σ: number
        Standard deviation.

    Returns
    -------
    cdf: Function
        Cumulative distribution function (CDF).

    Examples
    --------
    > var myCDF = {{alias}}.factory( 10.0, 2.0 );
    > var y = myCDF( 10.0 )
    0.5

    See Also
    --------

