time-to-botec

Benchmark sampling in different programming languages
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repl.txt (1557B)


      1 
      2 {{alias}}( x, μ, c )
      3     Evaluates the logarithm of the cumulative distribution function (CDF) for a
      4     Lévy distribution with location parameter `μ` and scale parameter `c` at a
      5     value `x`.
      6 
      7     If provided `NaN` as any argument, the function returns `NaN`.
      8 
      9     If provided `c <= 0`, the function returns `NaN`.
     10 
     11     Parameters
     12     ----------
     13     x: number
     14         Input value.
     15 
     16     μ: number
     17         Location parameter.
     18 
     19     c: number
     20         Scale parameter.
     21 
     22     Returns
     23     -------
     24     out: number
     25         Evaluated logCDF.
     26 
     27     Examples
     28     --------
     29     > var y = {{alias}}( 2.0, 0.0, 1.0 )
     30     ~-0.735
     31     > y = {{alias}}( 12.0, 10.0, 3.0 )
     32     ~-1.51
     33     > y = {{alias}}( 9.0, 10.0, 3.0 )
     34     -Infinity
     35     > y = {{alias}}( NaN, 0.0, 1.0 )
     36     NaN
     37     > y = {{alias}}( 2, NaN, 1.0 )
     38     NaN
     39     > y = {{alias}}( 2.0, 0.0, NaN )
     40     NaN
     41     // Negative scale parameter:
     42     > y = {{alias}}( 2.0, 0.0, -1.0 )
     43     NaN
     44 
     45 
     46 {{alias}}.factory( μ, c )
     47     Returns a function for evaluating the logarithm of the cumulative
     48     distribution function (CDF) of a Lévy distribution with location parameter
     49     `μ` and scale parameter `c`.
     50 
     51     Parameters
     52     ----------
     53     μ: number
     54         Location parameter.
     55 
     56     c: number
     57         Scale parameter.
     58 
     59     Returns
     60     -------
     61     logcdf: Function
     62         Logarithm of cumulative distribution function (CDF).
     63 
     64     Examples
     65     --------
     66     > var mylogcdf = {{alias}}.factory( 2.0, 3.0 );
     67     > var y = mylogcdf( 10.0 )
     68     ~-0.616
     69     > y = mylogcdf( 2.0 )
     70     -Infinity
     71 
     72     See Also
     73     --------
     74