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fGarch: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling

Analyze and model heteroskedastic behavior in financial time series.

Version: 4033.92
Imports: fBasics, timeDate, timeSeries, fastICA, Matrix (≥ 1.5-0), cvar (≥ 0.5), graphics, methods, stats, utils
Suggests: RUnit, tcltk, goftest
Published: 2024-03-26
DOI: 10.32614/CRAN.package.fGarch
Author: Diethelm Wuertz [aut] (original code), Yohan Chalabi [aut], Tobias Setz [aut], Martin Maechler ORCID iD [aut], Chris Boudt [ctb], Pierre Chausse [ctb], Michal Miklovac [ctb], Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov at manchester.ac.uk>
BugReports: https://r-forge.r-project.org/projects/rmetrics
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://geobosh.github.io/fGarchDoc/ (doc), https://www.rmetrics.org (devel)
NeedsCompilation: yes
Materials: README NEWS ChangeLog
In views: Finance, TimeSeries
CRAN checks: fGarch results

Documentation:

Reference manual: fGarch.pdf

Downloads:

Package source: fGarch_4033.92.tar.gz
Windows binaries: r-devel: fGarch_4033.92.zip, r-release: fGarch_4033.92.zip, r-oldrel: fGarch_4033.92.zip
macOS binaries: r-release (arm64): fGarch_4033.92.tgz, r-oldrel (arm64): fGarch_4033.92.tgz, r-release (x86_64): fGarch_4033.92.tgz, r-oldrel (x86_64): fGarch_4033.92.tgz
Old sources: fGarch archive

Reverse dependencies:

Reverse depends: distrRmetrics, gogarch
Reverse imports: AriGaMyANNSVR, CEEMDANML, fExtremes, ftsa, gratis, gscreend, GWEX, IndexConstruction, irtDemo, L2DensityGoFtest, ludic, mixAR, MTS, npboottprm, npboottprmFBar, segMGarch, SLBDD, StockDistFit, svines, univariateML, WaveletML
Reverse suggests: AER, CLA, cvar, fPortfolio, ggfortify, PortfolioAnalytics, sarima, simsalapar, smoots, symmetry
Reverse enhances: stargazer, texreg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fGarch to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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