# dist-nigRobMoments: Robust Moments for the NIG In fBasics: Rmetrics - Markets and Basic Statistics

## Description

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

## Usage

 ```1 2 3 4``` ```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) ```

## 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.

## 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.

Diethelm Wuertz.

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15``` ```## 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) ```

fBasics documentation built on Nov. 18, 2017, 4:05 a.m.