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Accompanies the texts Time Series for Data Science with R by Woodward, Sadler and Robertson & Applied Time Series Analysis with R, 2nd edition by Woodward, Gray, and Elliott. It is helpful for data analysis and for time series instruction.
| Version: | 2.1.0 |
| Imports: | signal, PolynomF, MASS, waveslim, astsa, tidyverse, zoo, plotrix, dplyr, ggplot2, magrittr, nnfor, forecast |
| Published: | 2023-01-31 |
| Author: | Wayne Woodward |
| Maintainer: | Bivin Sadler <bsadler at smu.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | TimeSeries |
| CRAN checks: | tswge results |
| Reference manual: | tswge.pdf |
| Package source: | tswge_2.1.0.tar.gz |
| Windows binaries: | r-devel: tswge_2.1.0.zip, r-release: tswge_2.1.0.zip, r-oldrel: tswge_2.1.0.zip |
| macOS binaries: | r-release (arm64): tswge_2.1.0.tgz, r-oldrel (arm64): tswge_2.1.0.tgz, r-release (x86_64): tswge_2.1.0.tgz, r-oldrel (x86_64): tswge_2.1.0.tgz |
| Old sources: | tswge archive |
| Reverse imports: | garma |
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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.
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