gratis: Generating Time Series with Diverse and Controllable Characteristics

Generates synthetic time series based on various univariate time series models including MAR and ARIMA processes. Kang, Y., Hyndman, R.J., Li, F.(2020) <doi:10.1002/sam.11461>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: doRNG, dplyr, foreach, forecast (≥ 8.16), GA, generics, magrittr, methods, mvtnorm, polynom, purrr, shiny, stats, tibble, tsfeatures, tsibble, utils
Suggests: feasts, fGarch, knitr, rmarkdown, rlang, shinydashboard
Published: 2022-01-14
Author: Yanfei Kang ORCID iD [aut, cre], Feng Li ORCID iD [aut], Rob Hyndman ORCID iD [ctb], Mitchell O'Hara-Wild ORCID iD [ctb], Bocong Zhao ORCID iD [ctb]
Maintainer: Yanfei Kang <yanfeikang at buaa.edu.cn>
BugReports: https://github.com/ykang/gratis/issues/
License: GPL-3
URL: https://github.com/ykang/gratis
NeedsCompilation: no
Citation: gratis citation info
Materials: README NEWS
In views: TimeSeries
CRAN checks: gratis results

Documentation:

Reference manual: gratis.pdf
Vignettes: Introduction to gratis

Downloads:

Package source: gratis_1.0.0.tar.gz
Windows binaries: r-devel: gratis_1.0.0.zip, r-release: gratis_0.2.1.zip, r-oldrel: gratis_0.2.1.zip
macOS binaries: r-release (arm64): gratis_1.0.0.tgz, r-release (x86_64): gratis_1.0.0.tgz, r-oldrel: gratis_0.2.1.tgz
Old sources: gratis archive

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