Compounding: an R package for computing continuous distributions obtained by compounding a continuous and a discrete distribution. In this manuscript we introduce R package Compounding for dealing with continuous distributions obtained by compounding continuous distributions with discrete distributions. We demonstrate its use by computing values of cumulative distribution function, probability density function, quantile function and hazard rate function, generating random samples from a population with compounding distribution, and computing mean, variance, skewness and kurtosis of a random variable with a compounding distribution. We consider 24 discrete distributions which can be compounded with any continuous distribution implemented in R.
Keywords for this software
References in zbMATH (referenced in 4 articles , 1 standard article )
Showing results 1 to 4 of 4.
- Alkarni, Said H.: Generalized Lindley power series family of distributions (2018)
- Popović, Božidar V.; Ristić, Miroslav M.; Cordeiro, Gauss M.: A two-parameter distribution obtained by compounding the generalized exponential and exponential distributions (2016)
- Nadarajah, Saralees; Popović, Božidar V.; Ristić, Miroslav M.: Compounding: an R package for computing continuous distributions obtained by compounding a continuous and a discrete distribution (2013)
- Silva, Rodrigo B.; Bourguignon, Marcelo; Dias, Cícero R. B.; Cordeiro, Gauss M.: The compound class of extended Weibull power series distributions (2013)