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{{alias}}( p, α, β )
Evaluates the quantile function for a beta distribution with first shape
parameter `α` and second shape parameter `β` 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 `α <= 0` or `β <= 0`, the function returns `NaN`.
Parameters
----------
p: number
Input value (probability).
α: number
First shape parameter.
β: number
Second shape parameter.
Returns
-------
out: number
Evaluated quantile function.
Examples
--------
> var y = {{alias}}( 0.8, 2.0, 1.0 )
~0.894
> y = {{alias}}( 0.5, 4.0, 2.0 )
~0.686
> y = {{alias}}( 1.1, 1.0, 1.0 )
NaN
> y = {{alias}}( -0.2, 1.0, 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
> y = {{alias}}( 0.5, -1.0, 1.0 )
NaN
> y = {{alias}}( 0.5, 1.0, -1.0 )
NaN
{{alias}}.factory( α, β )
Returns a function for evaluating the quantile function 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
-------
quantile: Function
Quantile function.
Examples
--------
> var myquantile = {{alias}}.factory( 2.0, 2.0 );
> y = myquantile( 0.8 )
~0.713
> y = myquantile( 0.4 )
~0.433
See Also
--------
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