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### RLambda & SLambda - functions used in calculation of the
### theoretical mean and variance of a hyperbolic distribution
### (as given in Barndorff-Nielsen & Blaesild, 1983).
RLambda <- function(zeta, lambda = 1){
besselK(zeta, lambda + 1)/besselK(zeta, lambda)
}
SLambda <- function(zeta,lambda = 1){
(besselK(zeta, lambda + 2)*besselK(zeta, lambda) -
besselK(zeta, lambda + 1)^2)/besselK(zeta, lambda)^2
}
MLambda <- function(zeta, lambda = 1){
besselK(zeta, lambda + 2)/besselK(zeta, lambda)
}
### WLambda1, WLambda2, WLambda3 and WLambda4 from
### Barndorff-Nielsen and Blaesild (1981), p. 41
WLambda1 <- function(zeta, lambda = 1){
RLambda(zeta, lambda)
}
WLambda2 <- function(zeta, lambda = 1){
-RLambda(zeta, lambda)^2 + 2*(lambda + 1)*RLambda(zeta, lambda)/zeta + 1
}
WLambda3 <- function(zeta, lambda = 1){
2*RLambda(zeta, lambda)^3 - 6*(lambda + 1)*RLambda(zeta, lambda)^2/zeta +
(4*(lambda + 1)*(lambda + 2)/zeta^2 - 2)*RLambda(zeta, lambda) +
2*(lambda + 2)/zeta
}
WLambda4 <- function(zeta, lambda = 1){
-6*RLambda(zeta, lambda)^4 + 24*(lambda + 1)*RLambda(zeta, lambda)^3/zeta +
(-4*(lambda + 1)*(7*lambda + 11)/zeta^2 + 8)*RLambda(zeta, lambda)^2 +
(8*(lambda + 1)*(lambda + 2)*(lambda + 3)/zeta^3 - 4*(4*lambda +5)/zeta)*
RLambda(zeta, lambda) + 4*(lambda + 2)*(lambda + 3)/zeta^2 - 2
}
### Theoretical skewness and kurtosis
### Barndorff-Nielsen and Blaesild (1981), p.42
gammaLambda1 <- function(hyperbPi, zeta, lambda = 1){
(hyperbPi^3*WLambda3(zeta, lambda) + 3*hyperbPi*WLambda2(zeta, lambda)/zeta)/
(hyperbPi^2*WLambda2(zeta, lambda) + WLambda1(zeta)/zeta)^(3/2)
}
gammaLambda2 <- function(hyperbPi, zeta, lambda = 1){
(hyperbPi^4*WLambda4(zeta, lambda) +
6*hyperbPi^2*WLambda3(zeta, lambda)/zeta +
3*WLambda2(zeta, lambda)/zeta^2)/
(hyperbPi^2*WLambda2(zeta, lambda) + WLambda1(zeta)/zeta)^2
}
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