# pCompound: function pCompound In Compounding: Computing Continuous Distributions

## Description

Function pCompound calculates values of the cdf of the random variable X.

## Usage

 `1` ```pCompound(q,parent,compound,compoundDist,params,...) ```

## Arguments

 `q` vector of quantiles `parent` name of the parent distribution. It can be any continuous distribution supported by R. `compound` name of the compound distribution. It can be any discrete distribution supported by this package. `compoundDist` list of available compounding distributions `params` Parameter or list of parameters of compounding distribution. `...` Parameters of continuous distribution could be provided as additional parameters.

## Details

Parameters of the parent distribution must be provided in the same way as it is in built in R functions. See http://127.0.0.1:23174/library/stats/html/Distributions.html

## Author(s)

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

## References

S. Nadarajah, B.V. Popovic, M.M. Ristic (2012) Compounding: an R package for computing continuous distributions obtained by compounding a continuous and a discrete distribution, Computational Statistics, DOI 10.1007/s00180-012-0336-y, http://www.springerlink.com/content/6r464013w6mp3545/

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30``` ```compoundDist <- c("geometric","poisson","negativebinomial","binomial", "logarithmic","binomialbinomial","binomialpoisson", "poissonbinomial","neymantypea","polyaaeppli", "poissonpascal","pascalpoisson", "logarithmicbinomial","logarithmicpoisson", "poissonlindley", "hyperpoisson","yule","waring","kattitypeh1", "kattitypeh2","neymantypeb","neymantypec", "hypergeometric","thomas") q<-0.5 parentD<-"beta" compoundD<-"hypergeometric" params<-c(3,2,0.5) pCompound(q,parentD,compoundD,compoundDist,params,shape1=2,shape2=0.3) ## The function is currently defined as pCompound <- function(q,parent,compound,compoundDist,params,...) { if (!exists(paste("p",parent,sep=""))) { return(paste("The parent distribution",parent,"doesn't exist")) } if (!is.element(compound,compoundDist)) { return(paste("The discrete distribution",compound,"doesn't exist")) } xval <- real(length(q)) F <- get(paste("p",parent,sep=""), mode = "function") phi <- get(paste("pgf",compound,sep=""), mode = "function") xval <- (1-phi(1-F(q,...),params))/(1-phi(0,params)) return(xval) } ```

### Example output

```Loading required package: hypergeo
[1] 0.07470484
```

Compounding documentation built on May 2, 2019, 1:04 p.m.