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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 |
DOI: | 10.32614/CRAN.package.tswge |
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 |
Please use the canonical form https://CRAN.R-project.org/package=tswge 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.