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tsgarch: Univariate GARCH Models

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 ORCID iD [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

Documentation:

Reference manual: tsgarch.pdf
Vignettes: Benchmark (source, R code)
Package Demo (source, R code)
GARCH Models (source, R code)

Downloads:

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 dependencies:

Reverse imports: tsmarch
Reverse suggests: tstests

Linking:

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.
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