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fGarch: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling

Analyze and model heteroskedastic behavior in financial time series.

Version:4052.93
Imports:fBasics,timeDate,timeSeries,fastICA,Matrix (≥ 1.5-0),cvar (≥ 0.5), graphics, methods, stats, utils
Suggests:RUnit, tcltk,goftest
Published:2025-12-12
DOI:10.32614/CRAN.package.fGarch
Author:Diethelm Wuertz [aut] (original code), Yohan Chalabi [aut], Tobias Setz [aut], Martin MaechlerORCID iD [aut], Chris Boudt [ctb], Pierre Chausse [ctb], Michal Miklovac [ctb], Georgi N. BoshnakovORCID iD [aut, cre]
Maintainer:Georgi N. Boshnakov <georgi.boshnakov at manchester.ac.uk>
BugReports:https://r-forge.r-project.org/tracker/?func=browse&group_id=156&atid=633
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://geobosh.github.io/fGarchDoc/ (doc),https://CRAN.R-project.org/package=fGarch,https://www.rmetrics.org
NeedsCompilation:yes
Materials:README,NEWS,ChangeLog
In views:Finance,TimeSeries
CRAN checks:fGarch results

Documentation:

Reference manual:fGarch.html ,fGarch.pdf

Downloads:

Package source: fGarch_4052.93.tar.gz
Windows binaries: r-devel:fGarch_4052.93.zip, r-release:fGarch_4052.93.zip, r-oldrel:fGarch_4052.93.zip
macOS binaries: r-release (arm64):fGarch_4052.93.tgz, r-oldrel (arm64):fGarch_4052.93.tgz, r-release (x86_64):fGarch_4052.93.tgz, r-oldrel (x86_64):fGarch_4052.93.tgz
Old sources: fGarch archive

Reverse dependencies:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=fGarchto link to this page.


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