package scientific.stats.continuous
import std.math.*
import std.unittest.*
import std.unittest.testmacro.*
import scientific.numbers.*
import scientific.stats.random.*
/*
* Log of Probability density function
*/
public func fiskLogPDF(x: Float64, c: Float64, loc!: Float64 = 0.0, scale!: Float64 = 1.0): Float64 {
let y = (x - loc) / scale
if (y < 0.0) {
throw IllegalArgumentException("fiskLogPDF: input value x out of bound.")
}
if (c <= 0.0) {
throw IllegalArgumentException("fiskLogPDF: shape parameter out of bound.")
}
return burrLogPDF(x, c, 1.0, loc:loc, scale: scale)
}
/*
* Probability density function
*/
public func fiskPDF(x: Float64, c: Float64, loc!: Float64 = 0.0, scale!: Float64 = 1.0): Float64 {
let y = (x - loc) / scale
if (y < 0.0) {
throw IllegalArgumentException("fiskPDF: input value x out of bound.")
}
if (c <= 0.0) {
throw IllegalArgumentException("fiskPDF: shape parameter out of bound.")
}
return burrPDF(x, c, 1.0, loc: loc, scale: scale)
}
/*
* Cumulative probability density function
*/
public func fiskCDF(x: Float64, c: Float64, loc!: Float64 = 0.0, scale!: Float64 = 1.0): Float64 {
let y = (x - loc) / scale
if (y < 0.0) {
throw IllegalArgumentException("fiskCDF: input value x out of bound.")
}
if (c <= 0.0) {
throw IllegalArgumentException("fiskCDF: shape parameter out of bound.")
}
return burrCDF(x, c, 1.0, loc: loc, scale: scale)
}
/*
* Log of Cumulative probability density function
*/
public func fiskLogCDF(x: Float64, c: Float64, loc!: Float64 = 0.0, scale!: Float64 = 1.0): Float64 {
let y = (x - loc) / scale
if (y < 0.0) {
throw IllegalArgumentException("fiskLogCDF: input value x out of bound.")
}
if (c <= 0.0) {
throw IllegalArgumentException("fiskLogCDF: shape parameter out of bound.")
}
return burrLogCDF(x, c, 1.0, loc: loc, scale: scale)
}
/*
* ppf
*/
public func fiskPPF(q: Float64, c: Float64, loc!: Float64 = 0.0, scale!: Float64 = 1.0): Float64 {
if (q <= 0.0 || q >= 1.0) {
throw IllegalArgumentException("fiskPPF: quantile out of bound.")
}
if (c <= 0.0) {
throw IllegalArgumentException("fiskPPF: shape parameter out of bound.")
}
return burrPPF(q, c, 1.0, loc: loc, scale: scale)
}
@Test
public class TestFisk {
@TestCase
func testFisk(): Unit {
@Assert(approxEqual(fiskLogPDF(2.0, 2.0, loc: 1.0, scale: 2.0), -1.1394342831883648, atol:1e-13))
@Assert(approxEqual(fiskLogCDF(2.0, 2.0, loc: 1.0, scale: 2.0), -1.6094379124341003, atol:1e-13))
@Assert(approxEqual(fiskPPF(0.2, 2.0, loc: 1.0, scale: 2.0), 2.0, atol:1e-13))
}
}