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.
Contains some tools for testing, analyzing time series data and fitting popular time series models such as ARIMA, Moving Average and Holt Winters, etc. Most functions also provide nice and clear outputs like SAS does, such as identify, estimate and forecast, which are the same statements in PROC ARIMA in SAS.
Version: | 3.1.2.1 |
Published: | 2024-02-21 |
DOI: | 10.32614/CRAN.package.aTSA |
Author: | Debin Qiu |
Maintainer: | Debin Qiu <debinqiu at uga.edu> |
License: | GPL-2 | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | aTSA results |
Reference manual: | aTSA.pdf |
Package source: | aTSA_3.1.2.1.tar.gz |
Windows binaries: | r-devel: aTSA_3.1.2.1.zip, r-release: aTSA_3.1.2.1.zip, r-oldrel: aTSA_3.1.2.1.zip |
macOS binaries: | r-release (arm64): aTSA_3.1.2.1.tgz, r-oldrel (arm64): aTSA_3.1.2.1.tgz, r-release (x86_64): aTSA_3.1.2.1.tgz, r-oldrel (x86_64): aTSA_3.1.2.1.tgz |
Old sources: | aTSA archive |
Reverse imports: | AriGaMyANNSVR, CEEMDANML, WaveletML |
Please use the canonical form https://CRAN.R-project.org/package=aTSA 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.