time-to-botec

Benchmark sampling in different programming languages
Log | Files | Refs | README

repl.txt (1363B)


      1 
      2 {{alias}}( p, λ )
      3     Evaluates the quantile function for an exponential distribution with rate
      4     parameter `λ` at a probability `p`.
      5 
      6     If `p < 0` or `p > 1`, the function returns `NaN`.
      7 
      8     If provided `NaN` as any argument, the function returns `NaN`.
      9 
     10     If provided a negative value for `λ`, the function returns `NaN`.
     11 
     12     Parameters
     13     ----------
     14     p: number
     15         Input probability.
     16 
     17     λ: number
     18         Rate parameter.
     19 
     20     Returns
     21     -------
     22     out: number
     23         Evaluated quantile function.
     24 
     25     Examples
     26     --------
     27     > var y = {{alias}}( 0.8, 1.0 )
     28     ~1.609
     29     > y = {{alias}}( 0.5, 4.0 )
     30     ~0.173
     31     > y = {{alias}}( 0.5, 0.1 )
     32     ~6.931
     33 
     34     > y = {{alias}}( -0.2, 0.1 )
     35     NaN
     36 
     37     > y = {{alias}}( NaN, 1.0 )
     38     NaN
     39     > y = {{alias}}( 0.0, NaN )
     40     NaN
     41 
     42     // Negative rate parameter:
     43     > y = {{alias}}( 0.5, -1.0 )
     44     NaN
     45 
     46 
     47 {{alias}}.factory( λ )
     48     Returns a function for evaluating the quantile function for an exponential
     49     distribution with rate parameter `λ`.
     50 
     51     Parameters
     52     ----------
     53     λ: number
     54         Rate parameter.
     55 
     56     Returns
     57     -------
     58     quantile: Function
     59         Quantile function.
     60 
     61     Examples
     62     --------
     63     > var myQuantile = {{alias}}.factory( 0.4 );
     64     > var y = myQuantile( 0.4 )
     65     ~1.277
     66     > y = myQuantile( 1.0 )
     67     Infinity
     68 
     69     See Also
     70     --------
     71