time-to-botec

Benchmark sampling in different programming languages
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      1 
      2 {{alias}}( x, α, β )
      3     Evaluates the probability density function (PDF) for a beta distribution
      4     with first shape parameter `α` and second shape parameter `β` at a value
      5     `x`.
      6 
      7     If provided `NaN` as any argument, the function returns `NaN`.
      8 
      9     If `α <= 0` or `β <= 0`, the function returns `NaN`.
     10 
     11     Parameters
     12     ----------
     13     x: number
     14         Input value.
     15 
     16     α: number
     17         First shape parameter.
     18 
     19     β: number
     20         Second shape parameter.
     21 
     22     Returns
     23     -------
     24     out: number
     25         Evaluated PDF.
     26 
     27     Examples
     28     --------
     29     > var y = {{alias}}( 0.5, 1.0, 1.0 )
     30     1.0
     31     > y = {{alias}}( 0.5, 2.0, 4.0 )
     32     1.25
     33     > y = {{alias}}( 0.2, 2.0, 2.0 )
     34     ~0.96
     35     > y = {{alias}}( 0.8, 4.0, 4.0 )
     36     ~0.573
     37     > y = {{alias}}( -0.5, 4.0, 2.0 )
     38     0.0
     39     > y = {{alias}}( 1.5, 4.0, 2.0 )
     40     0.0
     41 
     42     > y = {{alias}}( 0.5, -1.0, 0.5 )
     43     NaN
     44     > y = {{alias}}( 0.5, 0.5, -1.0 )
     45     NaN
     46 
     47     > y = {{alias}}( NaN, 1.0, 1.0 )
     48     NaN
     49     > y = {{alias}}( 0.5, NaN, 1.0 )
     50     NaN
     51     > y = {{alias}}( 0.5, 1.0, NaN )
     52     NaN
     53 
     54 
     55 {{alias}}.factory( α, β )
     56     Returns a function for evaluating the probability density function (PDF) of
     57     a beta distribution with first shape parameter `α` and second shape
     58     parameter `β`.
     59 
     60     Parameters
     61     ----------
     62     α: number
     63         First shape parameter.
     64 
     65     β: number
     66         Second shape parameter.
     67 
     68     Returns
     69     -------
     70     pdf: Function
     71         Probability density function (PDF).
     72 
     73     Examples
     74     --------
     75     > var mypdf = {{alias}}.factory( 0.5, 0.5 );
     76     > var y = mypdf( 0.8 )
     77     ~0.796
     78     > y = mypdf( 0.3 )
     79     ~0.695
     80 
     81     See Also
     82     --------
     83