Package: fGarch
Title: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
Date: 2017-11-12
Version: 3042.83.2
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: 2020-03-07 10:25:26 UTC; hornik
Repository: CRAN
Date/Publication: 2020-03-07 11:06:16 UTC
