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
[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:
Downloads:
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 |
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