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garchx: Flexible and Robust GARCH-X Modelling

Flexible and robust estimation and inference of Generalised Autoregressive Conditional Heteroscedasticity (GARCH) models with covariates ('X') based on the results by Francq and Thieu (2019) <doi:10.1017/S0266466617000512>. Coefficients can straightforwardly be set to zero by omission, and quasi maximum likelihood methods ensure estimates are generally consistent and inference valid, even when the standardised innovations are non-normal and/or dependent over time. See <doi:10.32614/RJ-2021-057> for an overview of the package.

Version:1.6
Depends:R (≥ 3.4.0), methods,zoo
Suggests:tvgarch,lgarch
Published:2025-07-09
DOI:10.32614/CRAN.package.garchx
Author:Genaro SucarratORCID iD [aut, cre]
Maintainer:Genaro Sucarrat <gsucarrat at gmail.com>
BugReports:https://github.com/gsucarrat/garchx/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://www.sucarrat.net/
NeedsCompilation:yes
Materials:NEWS
In views:Finance
CRAN checks:garchx results

Documentation:

Reference manual:garchx.html ,garchx.pdf

Downloads:

Package source: garchx_1.6.tar.gz
Windows binaries: r-devel:garchx_1.6.zip, r-release:garchx_1.6.zip, r-oldrel:garchx_1.6.zip
macOS binaries: r-release (arm64):garchx_1.6.tgz, r-oldrel (arm64):garchx_1.6.tgz, r-release (x86_64):garchx_1.6.tgz, r-oldrel (x86_64):garchx_1.6.tgz
Old sources: garchx archive

Reverse dependencies:

Reverse depends:tvgarch

Linking:

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


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