Description Usage Arguments Details Author(s) References Examples

Function kurtCompound calculates kurtosis of the random variable X.

1 | ```
kurtCompound(parent,compound,compoundDist,params,...)
``` |

`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. |

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

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

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/

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 | ```
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")
parentD<-"beta"
compoundD<-"hypergeometric"
params<-c(3,2,0.5)
kurtCompound(parentD,compoundD,compoundDist,params,shape1=2,shape2=0.3)
## The function is currently defined as
kurtCompound <- function(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"))
}
m1 <- meanCompound(parent,compound,compoundDist,params,...)
m3 <- momentCompound(3,parent,compound,compoundDist,params,...)
m4 <- momentCompound(4,parent,compound,compoundDist,params,...)
sig2 <- varCompound(parent,compound,compoundDist,params,...)
return((m4-4*m1*m3+6*m1^2*sig2+3*m1^4)/sig2^2)
}
``` |

Compounding documentation built on May 30, 2017, 4:02 a.m.

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