The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

WaveletGARCH: Fit the Wavelet-GARCH Model to Volatile Time Series Data

Fits the combination of Wavelet-GARCH model for time series forecasting using algorithm by Paul (2015) <doi:10.3233/MAS-150328>.

Version: 0.1.1
Imports: stats, wavelets, FinTS, forecast, parallel, rugarch, fracdiff, methods
Published: 2020-02-29
Author: Dr. Ranjit Kumar Paul, Sandipan Samanta and Ankit Tanwar
Maintainer: Dr. Ranjit Kumar Paul <ranjitstat at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: WaveletGARCH results

Documentation:

Reference manual: WaveletGARCH.pdf

Downloads:

Package source: WaveletGARCH_0.1.1.tar.gz
Windows binaries: r-devel: WaveletGARCH_0.1.1.zip, r-release: WaveletGARCH_0.1.1.zip, r-oldrel: WaveletGARCH_0.1.1.zip
macOS binaries: r-release (arm64): WaveletGARCH_0.1.1.tgz, r-oldrel (arm64): WaveletGARCH_0.1.1.tgz, r-release (x86_64): WaveletGARCH_0.1.1.tgz, r-oldrel (x86_64): WaveletGARCH_0.1.1.tgz
Old sources: WaveletGARCH archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=WaveletGARCH 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.
Health stats visible at Monitor.