The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
Multiple flavors of the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model with a large choice of conditional distributions. Methods for specification, estimation, prediction, filtering, simulation, statistical testing and more. Represents a partial re-write and re-think of 'rugarch', making use of automatic differentiation for estimation.
Version: | 1.0.3 |
Depends: | R (≥ 3.5.0), methods, tsmethods (≥ 1.0.2) |
Imports: | TMB (≥ 1.7.20), Rcpp, nloptr, Rdpack, numDeriv, xts, zoo, future.apply, future, progressr, flextable, stats, utils, data.table, tsdistributions, lubridate, sandwich |
LinkingTo: | Rcpp (≥ 0.10.6), TMB (≥ 1.7.20), RcppEigen |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2024-10-12 |
DOI: | 10.32614/CRAN.package.tsgarch |
Author: | Alexios Galanos [aut, cre, cph] |
Maintainer: | Alexios Galanos <alexios at 4dscape.com> |
BugReports: | https://github.com/tsmodels/tsgarch/issues |
License: | GPL-2 |
URL: | https://github.com/tsmodels/tsgarch |
NeedsCompilation: | yes |
Materials: | NEWS |
In views: | TimeSeries |
CRAN checks: | tsgarch results |
Reference manual: | tsgarch.pdf |
Vignettes: |
Benchmark (source, R code) Package Demo (source, R code) GARCH Models (source, R code) |
Package source: | tsgarch_1.0.3.tar.gz |
Windows binaries: | r-devel: tsgarch_1.0.3.zip, r-release: tsgarch_1.0.3.zip, r-oldrel: tsgarch_1.0.3.zip |
macOS binaries: | r-release (arm64): tsgarch_1.0.3.tgz, r-oldrel (arm64): tsgarch_1.0.3.tgz, r-release (x86_64): tsgarch_1.0.3.tgz, r-oldrel (x86_64): tsgarch_1.0.3.tgz |
Old sources: | tsgarch archive |
Reverse imports: | tsmarch |
Reverse suggests: | tstests |
Please use the canonical form https://CRAN.R-project.org/package=tsgarch 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.