Fit (by Maximum Likelihood or MCMC/Bayesian), simulate, and forecast various Markov-Switching GARCH models as described in Ardia et al. (2019) <doi:10.18637/jss.v091.i04>.
| Version: | 2.42 |
| Imports: | Rcpp, coda, methods, zoo, expm, fanplot, MASS, numDeriv |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | mcmc, testthat |
| Published: | 2020-04-20 |
| Author: | David Ardia |
| Maintainer: | Keven Bluteau <Keven.Bluteau at hec.ca> |
| BugReports: | https://github.com/keblu/MSGARCH/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Copyright: | see file COPYRIGHTS |
| URL: | https://github.com/keblu/MSGARCH |
| NeedsCompilation: | yes |
| Citation: | MSGARCH citation info |
| Materials: | NEWS |
| In views: | Finance |
| CRAN checks: | MSGARCH results |
| Reference manual: | MSGARCH.pdf |
| Package source: | MSGARCH_2.42.tar.gz |
| Windows binaries: | r-devel: MSGARCH_2.42.zip, r-release: MSGARCH_2.42.zip, r-oldrel: MSGARCH_2.42.zip |
| macOS binaries: | r-release: MSGARCH_2.42.tgz, r-oldrel: MSGARCH_2.42.tgz |
| Old sources: | MSGARCH archive |
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