The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

TempStable: A Collection of Methods to Estimate Parameters of Different Tempered Stable Distributions

A collection of methods to estimate parameters of different tempered stable distributions (TSD). Currently, there are seven different tempered stable distributions to choose from: Tempered stable subordinator distribution, classical TSD, generalized classical TSD, normal TSD, modified TSD, rapid decreasing TSD, and Kim-Rachev TSD. The package also provides functions to compute density and probability functions and tools to run Monte Carlo simulations. This package has already been used for the estimation of tempered stable distributions (Massing (2023) <doi:10.48550/arXiv.2303.07060>). The following references form the theoretical background for various functions in this package. References for each function are explicitly listed in its documentation: Bianchi et al. (2010) <doi:10.1007/978-88-470-1481-7_4> Bianchi et al. (2011) <doi:10.1137/S0040585X97984632> Carrasco (2017) <doi:10.1017/S0266466616000025> Feuerverger (1981) <doi:10.1111/j.2517-6161.1981.tb01143.x> Hansen et al. (1996) <doi:10.1080/07350015.1996.10524656> Hansen (1982) <doi:10.2307/1912775> Hofert (2011) <doi:10.1145/2043635.2043638> Kawai & Masuda (2011) <doi:10.1016/j.cam.2010.12.014> Kim et al. (2008) <doi:10.1016/j.jbankfin.2007.11.004> Kim et al. (2009) <doi:10.1007/978-3-7908-2050-8_5> Kim et al. (2010) <doi:10.1016/j.jbankfin.2010.01.015> Kuechler & Tappe (2013) <doi:10.1016/j.spa.2013.06.012> Rachev et al. (2011) <doi:10.1002/9781118268070>.

Version: 0.2.2
Depends: R (≥ 4.2), methods
Imports: copula (≥ 1.1-2), doParallel (≥ 1.0.12), foreach (≥ 1.5.0), gsl (≥ 2.1-8), hypergeo (≥ 1.2-13), moments (≥ 0.14), numDeriv (≥ 2016.8-1), stabledist (≥ 0.7-1), StableEstim (≥ 2.1), rootSolve (≥ 1.8), VGAM (≥ 1.1-7)
Suggests: knitr (≥ 1.4), rmarkdown (≥ 2.17), testthat (≥ 3.1), V8 (≥ 4.2)
Published: 2023-10-24
Author: Till Massing [cre, aut], Cedric Maximilian Juessen [aut]
Maintainer: Till Massing <till.massing at uni-due.de>
BugReports: https://github.com/TMoek/TempStable/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/TMoek/TempStable
NeedsCompilation: no
Materials: README NEWS
In views: Distributions
CRAN checks: TempStable results

Documentation:

Reference manual: TempStable.pdf

Downloads:

Package source: TempStable_0.2.2.tar.gz
Windows binaries: r-devel: TempStable_0.2.2.zip, r-release: TempStable_0.2.2.zip, r-oldrel: TempStable_0.2.2.zip
macOS binaries: r-release (arm64): TempStable_0.2.2.tgz, r-oldrel (arm64): TempStable_0.2.2.tgz, r-release (x86_64): TempStable_0.2.2.tgz, r-oldrel (x86_64): TempStable_0.2.2.tgz
Old sources: TempStable archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=TempStable to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.