rcomposite: Random generation of composite model.

In gendist: Generated Probability Distribution Models

Description

Computes rg of the composite model.

Usage

rcomposite(n, spec1, arg1, spec2, arg2, initial = 1)

Arguments

n	number of random generated values.
spec1	a character string specifying the head parent distribution (for example, "lnorm" if the parent distribution corresponds to the lognormal).
arg1	list of arguments/parameters of the head parent distribution.
spec2	a character string specifying the tail parent distribution (for example, "exp" if the parent distribution corresponds to the exponential).
arg2	list of arguments/parameters of the tail parent distribution.
initial	initial values of the threshold, θ.

Value

An object of the length n, giving the random generated values for the composite model.

Author(s)

Shaiful Anuar Abu Bakar

References

Abu Bakar, S. A., Nadarajah, S., Adzhar, Z. A. A. K., & Mohamed, I. (2016). gendist: An R package for generated probability distribution models. PloS one, 11(6).
Cooray, K., & Ananda, M. M. (2005). Modeling actuarial data with a composite lognormal-Pareto model. Scandinavian Actuarial Journal, 2005(5), 321-334.
Scollnik, D. P. (2007). On composite lognormal-Pareto models. Scandinavian Actuarial Journal, 2007(1), 20-33.
Nadarajah, S., & Bakar, S. A. A. (2014). New composite models for the Danish fire insurance data. Scandinavian Actuarial Journal, 2014(2), 180-187.
Bakar, S. A., Hamzah, N. A., Maghsoudi, M., & Nadarajah, S. (2015). Modeling loss data using composite models. Insurance: Mathematics and Economics, 61, 146-154.

Examples

y=rcomposite(10, spec1="lnorm", arg1=list(meanlog=0.1,sdlog=0.2), spec2="exp", 
             arg2=list(rate=0.5))

Example output

gendist documentation built on May 2, 2019, 3:34 p.m.