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Title: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
Date: 2017-11-12
Version: 3042.83
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>
Description: Provides a collection of functions to
analyze and model heteroskedastic behavior in financial time
series models.
Depends: R (>= 2.15.1), timeDate, timeSeries, fBasics
Imports: fastICA, Matrix, graphics, methods, stats, utils
Suggests: RUnit, tcltk
LazyData: yes
License: GPL (>= 2)
URL: https://www.rmetrics.org
NeedsCompilation: yes
Packaged: 2017-11-16 17:28:34 UTC; Tobias Setz
Repository: CRAN
Date/Publication: 2017-11-16 22:49:18 UTC
Built: R 3.4.2; x86_64-pc-linux-gnu; "Tue, 21 Nov 2017 20:03:05 -0600"; unix
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