Last data update: 2014.03.03

R: Range of a Generalized Hyperbolic Distribution
 ghypCalcRange R Documentation

## Range of a Generalized Hyperbolic Distribution

### Description

Given the parameter vector Theta of a generalized hyperbolic distribution, this function determines the range outside of which the density function is negligible, to a specified tolerance. The parameterization used is the (alpha, beta) one (see `dghyp`). To use another parameterization, use `ghypChangePars`.

### Usage

```ghypCalcRange(mu = 0, delta = 1, alpha = 1, beta = 0, lambda = 1,
param = c(mu, delta, alpha, beta, lambda),
tol = 10^(-5), density = TRUE, ...)
```

### Arguments

 `mu` mu is the location parameter. By default this is set to 0. `delta` delta is the scale parameter of the distribution. A default value of 1 has been set. `alpha` alpha is the tail parameter, with a default value of 1. `beta` beta is the skewness parameter, by default this is 0. `lambda` lambda is the shape parameter and dictates the shape that the distribution shall take. Default value is 1. `param` Value of parameter vector specifying the generalized hyperbolic distribution. This takes the form `c(mu, delta,alpha, beta, lambda)`. `tol` Tolerance. `density` Logical. If `TRUE`, the bounds are for the density function. If `FALSE`, they should be for the probability distribution, but this has not yet been implemented. `...` Extra arguments for calls to `uniroot`.

### Details

The particular generalized hyperbolic distribution being considered is specified by the value of the parameter value `param`.

If `density = TRUE`, the function gives a range, outside of which the density is less than the given tolerance. Useful for plotting the density. Also used in determining break points for the separate sections over which numerical integration is used to determine the distribution function. The points are found by using `uniroot` on the density function.

If `density = FALSE`, the function returns the message: "`Distribution function bounds not yet implemented`".

### Value

A two-component vector giving the lower and upper ends of the range.

### Author(s)

David Scott d.scott@auckland.ac.nz

### References

Barndorff-Nielsen, O. and Bl<c3><a6>sild, P (1983). Hyperbolic distributions. In Encyclopedia of Statistical Sciences, eds., Johnson, N. L., Kotz, S. and Read, C. B., Vol. 3, pp. 700–707. New York: Wiley.

`dghyp`, `ghypChangePars`

### Examples

```param <- c(0, 1, 5, 3, 1)
maxDens <- dghyp(ghypMode(param = param), param = param)
ghypRange <- ghypCalcRange(param = param, tol = 10^(-3) * maxDens)
ghypRange
curve(dghyp(x, param = param), ghypRange[1], ghypRange[2])
## Not run: ghypCalcRange(param = param, tol = 10^(-3), density = FALSE)
```

### Results

```
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(GeneralizedHyperbolic)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GeneralizedHyperbolic/ghypCalcRange.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ghypCalcRange
> ### Title: Range of a Generalized Hyperbolic Distribution
> ### Aliases: ghypCalcRange
> ### Keywords: distribution
>
> ### ** Examples
>
> param <- c(0, 1, 5, 3, 1)
> maxDens <- dghyp(ghypMode(param = param), param = param)
> ghypRange <- ghypCalcRange(param = param, tol = 10^(-3) * maxDens)
> ghypRange
[1] -1.126003  5.216412
> curve(dghyp(x, param = param), ghypRange[1], ghypRange[2])
> ## Not run: ghypCalcRange(param = param, tol = 10^(-3), density = FALSE)
>
>
>
>
>
> dev.off()
null device
1
>

```