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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | Package: fGarch
Version: 2110.80
Revision:
Date: 2009-11-09
Title: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
Author: Diethelm Wuertz and Yohan Chalabi with contribution from Michal
Miklovic, Chris Boudt, Pierre Chausse and others
Depends: R (>= 2.6.0), stats, graphics, methods, timeDate, timeSeries,
fBasics (>= 2100.78)
Suggests: RUnit, Matrix, fastICA, tcltk
Maintainer: Rmetrics Core Team <Rmetrics-core@r-project.org>
Description: Environment for teaching "Financial Engineering and
Computational Finance"
NOTE: SEVERAL PARTS ARE STILL PRELIMINARY AND MAY BE CHANGED IN THE
FUTURE. THIS TYPICALLY INCLUDES FUNCTION AND ARGUMENT NAMES, AS
WELL AS DEFAULTS FOR ARGUMENTS AND RETURN VALUES.
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
URL: http://www.rmetrics.org
Packaged: 2009-11-09 22:00:02 UTC; yankee
Repository: CRAN
Date/Publication: 2009-11-10 10:15:16
Built: R 2.13.2; x86_64-pc-linux-gnu; 2011-11-11 09:49:35 UTC; unix
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