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Title: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
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Author: Diethelm Wuertz and Yohan Chalabi with contribution from Michal
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Miklovic, Chris Boudt, Pierre Chausse and others
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Depends: R (>= 2.6.0), stats, graphics, methods, timeDate, timeSeries,
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Depends: R (>= 2.15.0), stats, graphics, methods, timeDate, timeSeries,
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Suggests: RUnit, Matrix, fastICA, tcltk
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Maintainer: Rmetrics Core Team <Rmetrics-core@r-project.org>