time-to-botec

Benchmark sampling in different programming languages
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repl.txt (1353B)

      1 
      2 {{alias}}( x, sigma )
      3     Evaluates the logarithm of the probability density function (PDF) for a
      4     Rayleigh distribution with scale parameter `sigma` at a value `x`.
      5 
      6     If provided `NaN` as any argument, the function returns `NaN`.
      7 
      8     If provided a negative value for `sigma`, the function returns `NaN`.
      9 
     10     Parameters
     11     ----------
     12     x: number
     13         Input value.
     14 
     15     sigma: number
     16         Scale parameter.
     17 
     18     Returns
     19     -------
     20     out: number
     21         Evaluated logPDF.
     22 
     23     Examples
     24     --------
     25     > var y = {{alias}}( 0.3, 1.0 )
     26     ~-1.249
     27     > y = {{alias}}( 2.0, 0.8 )
     28     ~-1.986
     29     > y = {{alias}}( -1.0, 0.5 )
     30     -Infinity
     31     > y = {{alias}}( 0.0, NaN )
     32     NaN
     33     > y = {{alias}}( NaN, 2.0 )
     34     NaN
     35     // Negative scale parameter:
     36     > y = {{alias}}( 2.0, -1.0 )
     37     NaN
     38 
     39 
     40 {{alias}}.factory( sigma )
     41     Returns a function for evaluating the logarithm of the probability density
     42     function (PDF) of a Rayleigh distribution with scale parameter `sigma`.
     43 
     44     Parameters
     45     ----------
     46     sigma: number
     47         Scale parameter.
     48 
     49     Returns
     50     -------
     51     logpdf: Function
     52         Logarithm of probability density function (PDF).
     53 
     54     Examples
     55     --------
     56     > var mylogpdf = {{alias}}.factory( 4.0 );
     57     > var y = mylogpdf( 6.0 )
     58     ~-2.106
     59     > y = mylogpdf( 4.0 )
     60     ~-1.886
     61 
     62     See Also
     63     --------
     64