Learn R Programming

fBasics (version 4021.93)

nigRobMoments: Robust Moments for the NIG

Description

Computes the first four robust moments for the Normal Inverse Gaussian Distribution.

Usage

nigMED(alpha = 1, beta = 0, delta = 1, mu = 0)
nigIQR(alpha = 1, beta = 0, delta = 1, mu = 0)
nigSKEW(alpha = 1, beta = 0, delta = 1, mu = 0)
nigKURT(alpha = 1, beta = 0, delta = 1, mu = 0)

Value

All values for the *nig functions are numeric vectors:

d* returns the density,

p* returns the distribution function,

q* returns the quantile function, and

r* generates random deviates.

All values have attributes named "param" listing the values of the distributional parameters.

Arguments

alpha, beta, delta, mu

are numeric values where alpha is the location parameter, beta is the location parameter, delta is the first shape parameter, and mu is the second shape parameter.

Author

Diethelm Wuertz.

Examples

Run this code
## nigMED -
   # Median:
   nigMED(alpha = 1, beta = 0, delta = 1, mu = 0)

## nigIQR -
   # Inter-quartile Range:
   nigIQR(alpha = 1, beta = 0, delta = 1, mu = 0)

## nigSKEW -
   # Robust Skewness:
   nigSKEW(alpha = 1, beta = 0, delta = 1, mu = 0)

## nigKURT -
   # Robust Kurtosis:
   nigKURT(alpha = 1, beta = 0, delta = 1, mu = 0)

Run the code above in your browser using DataLab