repl.txt (1500B)
1 2 {{alias}}( x, a, b ) 3 Evaluates the logarithm of the probability density function (PDF) for an 4 arcsine distribution with minimum support `a` and maximum support `b` at a 5 value `x`. 6 7 If provided `NaN` as any argument, the function returns `NaN`. 8 9 If provided `a >= b`, the function returns `NaN`. 10 11 Parameters 12 ---------- 13 x: number 14 Input value. 15 16 a: number 17 Minimum support. 18 19 b: number 20 Maximum support. 21 22 Returns 23 ------- 24 out: number 25 Evaluated logPDF. 26 27 Examples 28 -------- 29 > var y = {{alias}}( 2.0, 0.0, 4.0 ) 30 ~-1.838 31 > y = {{alias}}( 5.0, 0.0, 4.0 ) 32 -Infinity 33 > y = {{alias}}( 0.25, 0.0, 1.0 ) 34 ~-0.308 35 > y = {{alias}}( NaN, 0.0, 1.0 ) 36 NaN 37 > y = {{alias}}( 0.0, NaN, 1.0 ) 38 NaN 39 > y = {{alias}}( 0.0, 0.0, NaN ) 40 NaN 41 > y = {{alias}}( 2.0, 3.0, 1.0 ) 42 NaN 43 44 45 {{alias}}.factory( a, b ) 46 Returns a function for evaluating the logarithm of the probability density 47 function (PDF) of an arcsine distribution with minimum support `a` and 48 maximum support `b`. 49 50 Parameters 51 ---------- 52 a: number 53 Minimum support. 54 55 b: number 56 Maximum support. 57 58 Returns 59 ------- 60 logpdf: Function 61 Logarithm of probability density function (PDF). 62 63 Examples 64 -------- 65 > var mylogPDF = {{alias}}.factory( 6.0, 7.0 ); 66 > var y = mylogPDF( 7.0 ) 67 Infinity 68 > y = mylogPDF( 5.0 ) 69 -Infinity 70 71 See Also 72 -------- 73