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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 |
| 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 |
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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.