tsgarch: Univariate GARCH Models (original) (raw)
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 |
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