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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 (2018) <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 <https://journal.r-project.org/archive/2021/RJ-2021-057/RJ-2021-057.pdf> for an overview of the package.

Version: 1.5
Depends: R (≥ 3.4.0), methods, zoo
Suggests: tvgarch, lgarch
Published: 2022-09-13
DOI: 10.32614/CRAN.package.garchx
Author: Genaro Sucarrat [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.pdf

Downloads:

Package source: garchx_1.5.tar.gz
Windows binaries: r-devel: garchx_1.5.zip, r-release: garchx_1.5.zip, r-oldrel: garchx_1.5.zip
macOS binaries: r-release (arm64): garchx_1.5.tgz, r-oldrel (arm64): garchx_1.5.tgz, r-release (x86_64): garchx_1.5.tgz, r-oldrel (x86_64): garchx_1.5.tgz
Old sources: garchx archive

Reverse dependencies:

Reverse depends: tvgarch

Linking:

Please use the canonical form https://CRAN.R-project.org/package=garchx 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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