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)
dCompound(q,parentD,compoundD,compoundDist,params,shape1=2,shape2=0.3)
## The function is currently defined as
dCompound <- function(x,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(x))
f <- get(paste("d", parent, sep = ""), mode = "function")
F <- get(paste("p", parent, sep = ""), mode = "function")
phi <- get(paste("pgf",compound,sep=""), mode = "function")
phiD <- get(paste("pgfD",compound,sep=""), mode = "function")
xval <- phiD(1-F(x,...),params)*f(x,...)/(1-phi(0,params))
return(xval)
}
Run the code above in your browser using DataLab