time-to-botec

Benchmark sampling in different programming languages
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repl.txt (1145B)

      1 
      2 {{alias}}( x, μ )
      3     Evaluates the natural logarithm of the probability density function (logPDF)
      4     for a degenerate distribution with mean `μ`.
      5 
      6     If provided `NaN` for any argument, the function returns `NaN`.
      7 
      8     Parameters
      9     ----------
     10     x: number
     11         Input value.
     12 
     13     μ: number
     14         Constant value of distribution.
     15 
     16     Returns
     17     -------
     18     out: number
     19         Natural logarithm of the PDF.
     20 
     21     Examples
     22     --------
     23     > var y = {{alias}}( 2.0, 3.0 )
     24     -Infinity
     25     > y = {{alias}}( 3.0, 3.0 )
     26     Infinity
     27     > y = {{alias}}( NaN, 0.0 )
     28     NaN
     29     > y = {{alias}}( 0.0, NaN )
     30     NaN
     31 
     32 
     33 {{alias}}.factory( μ )
     34     Returns a function for evaluating the natural logarithm of the probability
     35     density function (logPDF) of a degenerate distribution with mean `μ`.
     36 
     37     Parameters
     38     ----------
     39     μ: number
     40         Constant value of distribution.
     41 
     42     Returns
     43     -------
     44     logpdf: Function
     45         Function to evaluate the natural logarithm of the PDF.
     46 
     47     Examples
     48     --------
     49     > var mylogPDF = {{alias}}.factory( 10.0 );
     50     > var y = mylogPDF( 10.0 )
     51     Infinity
     52 
     53     See Also
     54     --------
     55