pgfhyperpoisson {Compounding} R Documentation

## Function pgfhyperpoisson

### Description

This function calculates value of the pgf of the hyper Poisson distribution.

### Usage

```pgfhyperpoisson(s, params)
```

### Arguments

 `s` Value of the parameter of the pgf. It should be from interval [-1,1]. In the opposite pgf diverges. `params` List of the parameters of the hyperpoisson distribution, such that params<-c(theta,lambda), where both parameters are positive.

### Author(s)

S. Nadarajah, B. V. Popovic, M. M. Ristic

### References

Johnson N, Kotz S, Kemp A (1992) Univariate Discrete Distributions, John Wiley and Sons, New York

Hankin R.K.S, Lee A (2006) A new family of non-negative distributions. Australia and New Zealand Journal of Statistics 48(1): 67(78)

http://www.am.qub.ac.uk/users/g.gribakin/sor/Chap3.pdf

### Examples

```params<-c(.4,.3)
pgfhyperpoisson(.5,params)

## The function is currently defined as

pgfhyperpoisson <- function(s,params) {
require(hypergeo)
k<-s[abs(s)>1]
if (length(k)>0)
warning("At least one element of the vector s are out of interval [-1,1]")
if (length(params)<2)
stop("At least one value in params is missing")
if (length(params)>2)
stop("The length of params is 2")

theta<-params[1]
lambda<-params[2]
if (theta<=0)
stop ("Parameter theta must be positive")
if (lambda<=0)
stop ("Parameter lambda must be positive")
genhypergeo(1,lambda,theta*s)/genhypergeo(1,lambda,theta)
}
```

[Package Compounding version 1.0.2 Index]