Package: fGarch
Title: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
Date: 2022-06-24
Version: 4021.86
Author: Diethelm Wuertz [aut],
    Yohan Chalabi [aut],
    Tobias Setz [aut,cre],
    Chris Boudt [ctb],
    Pierre Chausse [ctb],
    Michal Miklovac [ctb],
    Martin Maechler [aut]
Maintainer: Tobias Setz <tobias.setz@live.com>
Description: Analyze and model heteroskedastic behavior in financial time series.
Imports: fBasics, timeDate, timeSeries, fastICA, Matrix, graphics,
        methods, stats, utils
Suggests: RUnit, tcltk
LazyData: yes
License: GPL (>= 2)
URL: https://www.rmetrics.org
Repository: CRAN
Repository/R-Forge/Project: rmetrics
Repository/R-Forge/Revision: 6188
Repository/R-Forge/DateTimeStamp: 2022-07-13 17:33:34
Date/Publication: 2022-07-17 00:10:02 UTC
NeedsCompilation: yes
Packaged: 2022-07-13 17:52:08 UTC; rforge
