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fGarch: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
Provides a collection of functions to analyze and model heteroskedastic behavior in financial time series models.
Getting started
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Package details |
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| Author | Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb], Chris Boudt [ctb], Pierre Chausse [ctb], Michal Miklovac [ctb] |
| Maintainer | Tobias Setz <tobias.setz@live.com> |
| License | GPL (>= 2) |
| Version | 3042.83.2 |
| URL | https://www.rmetrics.org |
| Package repository | View on CRAN |
| Installation |
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