fGarch (3042.83.2)

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Rmetrics - Autoregressive Conditional Heteroskedastic Modelling.


Provides a collection of functions to analyze and model heteroskedastic behavior in financial time series models.

Maintainer: Tobias Setz
Author(s): Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb], Chris Boudt [ctb], Pierre Chausse [ctb], Michal Miklovac [ctb]

License: GPL (>= 2)

Uses: fastICA, fBasics, Matrix, timeDate, timeSeries, RUnit
Reverse depends: CoSeg, DAC, egarch, fExtremes, fNonlinear, gogarch, mleur, Rmetrics
Reverse suggests: AER, caschrono, CLA, fPortfolio, ggfortify, portes, PortfolioAnalytics, sarima, simsalapar, smoots, symmetry
Reverse enhances: stargazer, texreg

Released 3 months ago.

10 previous versions



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