repl.txt (1624B)
1 2 {{alias}}( x, k, λ ) 3 Evaluates the logarithm of the cumulative distribution function (CDF) for a 4 Weibull distribution with shape parameter `k` and scale parameter `λ` at a 5 value `x`. 6 7 If provided `NaN` as any argument, the function returns `NaN`. 8 9 If provided a nonpositive value for `λ` or `k`, the function returns `NaN`. 10 11 Parameters 12 ---------- 13 x: number 14 Input value. 15 16 k: number 17 Shape parameter. 18 19 λ: number 20 Scale parameter. 21 22 Returns 23 ------- 24 out: number 25 Evaluated logCDF. 26 27 Examples 28 -------- 29 > var y = {{alias}}( 2.0, 1.0, 1.0 ) 30 ~-0.145 31 > y = {{alias}}( -1.0, 2.0, 2.0 ) 32 -Infinity 33 > y = {{alias}}( {{alias:@stdlib/constants/float64/pinf}}, 4.0, 2.0 ) 34 0.0 35 > y = {{alias}}( {{alias:@stdlib/constants/float64/ninf}}, 4.0, 2.0 ) 36 -Infinity 37 > y = {{alias}}( NaN, 0.0, 1.0 ) 38 NaN 39 > y = {{alias}}( 0.0, NaN, 1.0 ) 40 NaN 41 > y = {{alias}}( 0.0, 0.0, NaN ) 42 NaN 43 > y = {{alias}}( 2.0, 0.0, -1.0 ) 44 NaN 45 46 47 {{alias}}.factory( k, λ) 48 Returns a function for evaluating the logarithm of the cumulative 49 distribution function (CDF) of a Weibull distribution with scale parameter 50 `λ` and shape parameter `k`. 51 52 Parameters 53 ---------- 54 k: number 55 Shape parameter. 56 57 λ: number 58 Scale parameter. 59 60 Returns 61 ------- 62 logcdf: Function 63 Logarithm of cumulative distribution function (CDF). 64 65 Examples 66 -------- 67 > var mylogcdf = {{alias}}.factory( 2.0, 10.0 ); 68 > var y = mylogcdf( 12.0 ) 69 ~-0.27 70 71 See Also 72 -------- 73