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tsmarch
View on CRAN: Click
here
Download and install tsmarch package within the R console
Install from CRAN:
install.packages("tsmarch")
Install from Github:
library("remotes")
install_github("cran/tsmarch")
Install by package version:
library("remotes")
install_version("tsmarch", "1.0.0")
Attach the package and use:
library("tsmarch")
Maintained by
Alexios Galanos
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.tsmarch . https://github.com/tsmodels/tsmarch/issues . https://github.com/tsmodels/tsmarch . tsmarch results . tsmarch.pdf . tsmarch demo . tsmarch_1.0.0.tar.gz . tsmarch_1.0.0.zip . tsmarch_1.0.0.zip . tsmarch_1.0.0.zip . tsmarch_1.0.0.tgz . tsmarch_1.0.0.tgz . tsmarch_1.0.0.tgz . tsmarch_1.0.0.tgz . https://CRAN.R-project.org/package=tsmarch .
First Published: 2024-11-18
Latest Update: 2024-11-18
Description:
Feasible Multivariate Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models including Dynamic Conditional Correlation (DCC), Copula GARCH and Generalized Orthogonal GARCH with Generalized Hyperbolic distribution. A review of some of these models can be found in Boudt, Galanos, Payseur and Zivot (2019) <doi:10.1016/bs.host.2019.01.001>.
How to cite:
Alexios Galanos (2024). tsmarch: Multivariate ARCH Models. R package version 1.0.0, https://cran.r-project.org/web/packages/tsmarch. Accessed 04 May. 2025.
Previous versions and publish date:
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