
{{alias}}( x, α, β )
    Evaluates the probability density function (PDF) for a beta distribution
    with first shape parameter `α` and second shape 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
        First shape parameter.

    β: number
        Second shape parameter.

    Returns
    -------
    out: number
        Evaluated PDF.

    Examples
    --------
    > var y = {{alias}}( 0.5, 1.0, 1.0 )
    1.0
    > y = {{alias}}( 0.5, 2.0, 4.0 )
    1.25
    > y = {{alias}}( 0.2, 2.0, 2.0 )
    ~0.96
    > y = {{alias}}( 0.8, 4.0, 4.0 )
    ~0.573
    > y = {{alias}}( -0.5, 4.0, 2.0 )
    0.0
    > y = {{alias}}( 1.5, 4.0, 2.0 )
    0.0

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

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


{{alias}}.factory( α, β )
    Returns a function for evaluating the probability density function (PDF) of
    a beta distribution with first shape parameter `α` and second shape
    parameter `β`.

    Parameters
    ----------
    α: number
        First shape parameter.

    β: number
        Second shape parameter.

    Returns
    -------
    pdf: Function
        Probability density function (PDF).

    Examples
    --------
    > var mypdf = {{alias}}.factory( 0.5, 0.5 );
    > var y = mypdf( 0.8 )
    ~0.796
    > y = mypdf( 0.3 )
    ~0.695

    See Also
    --------

