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:	2.0.0
Imports:	signal, PolynomF, MASS, waveslim, astsa, tidyverse, zoo, plotrix, dplyr, ggplot2, magrittr, nnfor, forecast
Published:	2022-08-09
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_2.0.0.tar.gz
Windows binaries:	r-devel: tswge_2.0.0.zip, r-release: tswge_2.0.0.zip, r-oldrel: tswge_2.0.0.zip
macOS binaries:	r-release (arm64): tswge_2.0.0.tgz, r-oldrel (arm64): tswge_2.0.0.tgz, r-release (x86_64): tswge_2.0.0.tgz, r-oldrel (x86_64): tswge_2.0.0.tgz
Old sources:	tswge archive

Reverse dependencies:

Reverse imports:

garma

Linking:

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