repl.txt (1677B)
1 2 {{alias}}( x, α, s, m ) 3 Evaluates the logarithm of the probability density function (PDF) for a 4 Fréchet distribution with shape parameter `α`, scale parameter `s`, and 5 location `m`. 6 7 If provided `NaN` as any argument, the function returns `NaN`. 8 9 If provided `α <= 0` or `s <= 0`, the function returns `NaN`. 10 11 Parameters 12 ---------- 13 x: number 14 Input value. 15 16 α: number 17 Shape parameter. 18 19 s: number 20 Scale parameter. 21 22 m: number 23 Location parameter. 24 25 Returns 26 ------- 27 out: number 28 Evaluated logPDF. 29 30 Examples 31 -------- 32 > var y = {{alias}}( 10.0, 1.0, 3.0, 5.0 ) 33 ~-2.72 34 > y = {{alias}}( -2.0, 1.0, 3.0, -3.0 ) 35 ~-1.901 36 > y = {{alias}}( 0.0, 2.0, 1.0, -1.0 ) 37 ~-0.307 38 > y = {{alias}}( NaN, 0.0, 1.0 ) 39 NaN 40 > y = {{alias}}( 0.0, NaN, 1.0 ) 41 NaN 42 > y = {{alias}}( 0.0, 0.0, NaN ) 43 NaN 44 // Negative scale parameter: 45 > y = {{alias}}( 0.0, 0.0, -1.0 ) 46 NaN 47 48 49 {{alias}}.factory( α, s, m ) 50 Returns a function for evaluating the logarithm of the probability density 51 function (PDF) of a Fréchet distribution with shape parameter `α`, scale 52 parameter `s`, and location `m`. 53 54 Parameters 55 ---------- 56 α: number 57 Shape parameter. 58 59 s: number 60 Scale parameter. 61 62 m: number 63 Location parameter. 64 65 Returns 66 ------- 67 logpdf: Function 68 Logarithm of probability density function (PDF). 69 70 Examples 71 -------- 72 > var mylogPDF = {{alias}}.factory( 2.0, 3.0, 1.0 ); 73 > var y = mylogPDF( 10.0 ) 74 ~-3.812 75 > y = mylogPDF( 2.0 ) 76 ~-6.11 77 78 See Also 79 -------- 80