time-to-botec

Benchmark sampling in different programming languages
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repl.txt (1661B)


      1 
      2 {{alias}}( [x0, Ɣ] )
      3     Returns a Cauchy distribution object.
      4 
      5     Parameters
      6     ----------
      7     x0: number (optional)
      8         Location parameter. Default: `0.0`.
      9 
     10     Ɣ: number (optional)
     11         Scale parameter. Must be greater than `0`. Default: `1.0`.
     12 
     13     Returns
     14     -------
     15     cauchy: Object
     16         Distribution instance.
     17 
     18     cauchy.x0: number
     19         Location parameter.
     20 
     21     cauchy.gamma: number
     22         Scale parameter. If set, the value must be greater than `0`.
     23 
     24     cauchy.entropy: number
     25         Read-only property which returns the differential entropy.
     26 
     27     cauchy.median: number
     28         Read-only property which returns the median.
     29 
     30     cauchy.mode: number
     31         Read-only property which returns the mode.
     32 
     33     cauchy.cdf: Function
     34         Evaluates the cumulative distribution function (CDF).
     35 
     36     cauchy.logcdf: Function
     37         Evaluates the natural logarithm of the cumulative distribution function
     38         (CDF).
     39 
     40     cauchy.logpdf: Function
     41         Evaluates the natural logarithm of the probability density function
     42         (PDF).
     43 
     44     cauchy.pdf: Function
     45         Evaluates the probability density function (PDF).
     46 
     47     cauchy.quantile: Function
     48         Evaluates the quantile function at probability `p`.
     49 
     50     Examples
     51     --------
     52     > var cauchy = {{alias}}( 0.0, 1.0 );
     53     > cauchy.x0
     54     0.0
     55     > cauchy.gamma
     56     1.0
     57     > cauchy.entropy
     58     ~2.531
     59     > cauchy.median
     60     0.0
     61     > cauchy.mode
     62     0.0
     63     > cauchy.cdf( 0.8 )
     64     ~0.715
     65     > cauchy.logcdf( 1.0 )
     66     ~-0.288
     67     > cauchy.logpdf( 1.0 )
     68     ~-1.838
     69     > cauchy.pdf( 1.0 )
     70     ~0.159
     71     > cauchy.quantile( 0.8 )
     72     ~1.376
     73 
     74     See Also
     75     --------
     76