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tswge: Time Series for Data Science

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

Documentation:

Reference manual: tswge.pdf

Downloads:

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

Linking:

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.
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