# skewhypParam: Parameter Sets for the Skew Hyperbolic t-Distribution In SkewHyperbolic: The Skew Hyperbolic Student t-Distribution

## Description

These objects store different parameter sets of the skew hyperbolic t distribution for testing or demonstrating purpose as matrices.

Specifically, the parameter sets `skewhypSmallShape` and `skewhypLargeShape` have constant location parameter of mu = 0 and scale parameter of delta = 1.

The skewness parameter beta takes values from {0,2} in `skewhypSmallShape` and `skewhypSmallParam`, and from {-5,0,1,2,5} in `skewhypLargeShape` and `skewhypLargeParam`.

The shape parameter nu takes values from {1,5} in `skewhypSmallShape` and `skewhypSmallParam`, and from {1,2,5,10,20} in `skewhypLargeShape` and `skewhypLargeParam`.

## Usage

 ```1 2 3 4``` ``` skewhypSmallShape skewhypLargeShape skewhypSmallParam skewhypLargeParam ```

## Format

`skewhypSmallShape`: a 4 by 4 matrix;

`skewhypLargeShape`: a 25 by 4 matrix;

`skewhypSmallParam`: a 16 by 4 matrix;

`skewhypLargeParam`: a 400 by 4 matrix.

## Author(s)

David Scott [email protected]

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10``` ```data(skewhypParam) ### Testing the accuracy of skewhypMean for (i in 1:nrow(skewhypSmallParam)) { param <- skewhypSmallParam[i, ] x <- rskewhyp(1000, param = param) sampleMean <- mean(x) distMean <- skewhypMean(param = param) difference <- abs(sampleMean - distMean) print(difference) } ```

SkewHyperbolic documentation built on June 8, 2018, 3:02 a.m.