SymTS-package {SymTS}R Documentation

Symmetric Tempered Stable Distributions

Description

Contains methods for simulation and for evaluating the pdf, cdf, and quantile functions for symmetric stable, symmetric classical tempered stable, and symmetric power tempered stable distributions.

Details

The DESCRIPTION file:

Package: SymTS
Type: Package
Title: Symmetric Tempered Stable Distributions
Version: 1.0-2
Date: 2023-01-14
Author: Michael Grabchak <mgrabcha@uncc.edu> and Lijuan Cao <lcao2@uncc.edu>
Maintainer: Michael Grabchak <mgrabcha@uncc.edu>
Description: Contains methods for simulation and for evaluating the pdf, cdf, and quantile functions for symmetric stable, symmetric classical tempered stable, and symmetric power tempered stable distributions.
License: GPL (>= 3)

Index of help topics:

SymTS-package           Symmetric Tempered Stable Distributions
dCTS                    PDF of CTS Distribution
dPowTS                  PDF of PowTS Distribution
dSaS                    PDF of Symmetric Stable Distribution
pCTS                    CDF of CTS Distribution
pPowTS                  PDF of PowTS Distribution
pSaS                    CDF of Symmetric Stable Distribution
qCTS                    Quantile Function of CTS Distribution
qPowTS                  Quantile Function of PowTS Distribution
qSaS                    Quantile Function of Symmetric Stable
                        Distribution
rCTS                    Simulation from CTS Distribution
rPowTS                  Simulation from PowTS Distribution
rSaS                    Simulation from Symmetric Stable Distribution

Author(s)

Michael Grabchak <mgrabcha@uncc.edu> and Lijuan Cao <lcao2@uncc.edu>

Maintainer: Michael Grabchak <mgrabcha@uncc.edu>

References

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

S. T. Rachev, Y. S. Kim, M. L. Bianchi, and F. J. Fabozzi (2011). Financial Models with Levy Processes and Volatility Clustering. Wiley, Chichester.

J. Rosinski (2007). Tempering stable processes. Stochastic Processes and Their Applications, 117(6):677-707.

G. Samorodnitsky and M. Taqqu (1994). Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance. Chapman & Hall, Boca Raton.


[Package SymTS version 1.0-2 Index]