
{{alias}}( p, μ, σ )
    Evaluates the quantile function for a normal distribution with mean `μ` and
    standard deviation `σ` at a probability `p`.

    If `p < 0` or `p > 1`, the function returns `NaN`.

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

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

    Parameters
    ----------
    p: number
        Input probability.

    μ: number
        Location parameter.

    σ: number
        Standard deviation.

    Returns
    -------
    out: number
        Evaluated quantile function.

    Examples
    --------
    > var y = {{alias}}( 0.8, 0.0, 1.0 )
    ~0.842
    > y = {{alias}}( 0.5, 4.0, 2.0 )
    4

    > y = {{alias}}( 1.1, 0.0, 1.0 )
    NaN
    > y = {{alias}}( -0.2, 0.0, 1.0 )
    NaN

    > 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}}( 0.5, 0.0, -1.0 )
    NaN

    // Degenerate distribution centered at `μ` when `σ = 0.0`:
    > y = {{alias}}( 0.3, 8.0, 0.0 )
    8.0
    > y = {{alias}}( 0.9, 8.0, 0.0 )
    8.0


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

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

    σ: number
        Standard deviation.

    Returns
    -------
    quantile: Function
        Quantile function.

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

    See Also
    --------

