repl.txt (1609B)
1 2 {{alias}}( x, μ, s ) 3 Evaluates the logarithm of the probability density function (PDF) for a 4 logistic distribution with location parameter `μ` and scale parameter `s` at 5 a value `x`. 6 7 If provided `NaN` as any argument, the function returns `NaN`. 8 9 If provided `s < 0`, the function returns `NaN`. 10 11 Parameters 12 ---------- 13 x: number 14 Input value. 15 16 μ: number 17 Location parameter. 18 19 s: number 20 Scale parameter. 21 22 Returns 23 ------- 24 out: number 25 Evaluated logPDF. 26 27 Examples 28 -------- 29 > var y = {{alias}}( 2.0, 0.0, 1.0 ) 30 ~-2.254 31 > y = {{alias}}( -1.0, 4.0, 2.0 ) 32 ~-3.351 33 > y = {{alias}}( NaN, 0.0, 1.0 ) 34 NaN 35 > y = {{alias}}( 0.0, NaN, 1.0 ) 36 NaN 37 > y = {{alias}}( 0.0, 0.0, NaN ) 38 NaN 39 40 // Negative scale parameter: 41 > y = {{alias}}( 2.0, 0.0, -1.0 ) 42 NaN 43 44 // Degenerate distribution at `s = 0.0`: 45 > y = {{alias}}( 2.0, 8.0, 0.0 ) 46 -Infinity 47 > y = {{alias}}( 8.0, 8.0, 0.0 ) 48 Infinity 49 50 51 {{alias}}.factory( μ, s ) 52 Returns a function for evaluating the logarithm of the probability density 53 function (PDF) of a Logistic distribution with location parameter `μ` and 54 scale parameter `s`. 55 56 Parameters 57 ---------- 58 μ: number 59 Location parameter. 60 61 s: number 62 Scale parameter. 63 64 Returns 65 ------- 66 logpdf: Function 67 Logarithm of probability density function (PDF). 68 69 Examples 70 -------- 71 > var mylogpdf = {{alias}}.factory( 10.0, 2.0 ); 72 > var y = mylogpdf( 10.0 ) 73 ~-2.079 74 75 See Also 76 -------- 77