rSubCTS: Simulation of CTS Subordinators

In SubTS: Tempered Stable Subordinators and Related Distributions

Simulation of CTS Subordinators

Description

Simulates from fully right skewed classical tempered stable (CTS) distributions with alpha<1. When alpha=0 this is the gamma distribution.

Usage

rSubCTS(n, alpha, c, ell, method = NULL)

Arguments

n	Number of observations.
alpha	Parameter in [0,1).
c	Parameter >0
ell	Tempering parameter >0
method	Parameter used by retstable in the copula package. When NULL restable selects the best method.

Details

Simulates a CTS subordinator. The distribution has Laplace transform

L(z) = exp( c int_0^infty (e^(-xz)-1)e^(-x/ell) x^(-1-alpha) dx), z>0

and Levy measure

M(dx) = c e^(-x/ell) x^(-1-alpha) 1(x>0)dx.

Value

Returns a vector of n random numbers.

Note

Uses the method retstable in the copula package.

Author(s)

Michael Grabchak and Lijuan Cao

References

M. Grabchak (2016). Tempered Stable Distributions: Stochastic Models for Multiscale Processes. Springer, Cham.

Examples

rSubCTS(20, .7, 1, 1)

SubTS documentation built on Sept. 14, 2026, 1:06 a.m.