File: repl.txt

package info (click to toggle)
node-stdlib 0.0.96%2Bds1%2B~cs0.0.429-2
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 421,476 kB
  • sloc: javascript: 1,562,831; ansic: 109,702; lisp: 49,823; cpp: 27,224; python: 7,871; sh: 6,807; makefile: 6,089; fortran: 3,102; awk: 387
file content (71 lines) | stat: -rw-r--r-- 1,370 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71

{{alias}}( x, λ )
    Evaluates the probability mass function (PMF) for a Poisson
    distribution with mean parameter `λ` at a value `x`.

    If provided `NaN` as any argument, the function returns `NaN`.

    If provided a negative value for `λ`, the function returns `NaN`.

    Parameters
    ----------
    x: number
        Input value.

    λ: number
        Mean parameter.

    Returns
    -------
    out: number
        Evaluated PMF.

    Examples
    --------
    > var y = {{alias}}( 4.0, 3.0 )
    ~0.168
    > y = {{alias}}( 1.0, 3.0 )
    ~0.149
    > y = {{alias}}( -1.0, 2.0 )
    0.0
    > y = {{alias}}( 0.0, NaN )
    NaN
    > y = {{alias}}( NaN, 0.5 )
    NaN

    // Negative mean parameter:
    > y = {{alias}}( 2.0, -0.5 )
    NaN

    // Degenerate distribution at `λ = 0`:
    > y = {{alias}}( 2.0, 0.0 )
    0.0
    > y = {{alias}}( 0.0, 0.0 )
    1.0


{{alias}}.factory( λ )
    Returns a function for evaluating the probability mass function (PMF)
    of a Poisson distribution with mean parameter `λ`.

    Parameters
    ----------
    λ: number
        Mean parameter.

    Returns
    -------
    pmf: Function
        Probability mass function (PMF).

    Examples
    --------
    > var mypmf = {{alias}}.factory( 1.0 );
    > var y = mypmf( 3.0 )
    ~0.061
    > y = mypmf( 1.0 )
    ~0.368

    See Also
    --------