Write SARIMA models in (finite) AR representation and simulate generalized multiplicative seasonal autoregressive moving average (time) series with Normal / Gaussian, Poisson or negative binomial distribution. The methodology of this method is described in Briet OJT, Amerasinghe PH, and Vounatsou P (2013) <doi:10.1371/journal.pone.0065761>.
Version: | 0.1-5 |
Depends: | R (≥ 2.4.0) |
Imports: | MASS |
Published: | 2020-09-03 |
Author: | Olivier Briet |
Maintainer: | Olivier Briet <o.briet at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://www.r-project.org |
NeedsCompilation: | no |
In views: | TimeSeries |
CRAN checks: | gsarima results |
Reference manual: | gsarima.pdf |
Package source: | gsarima_0.1-5.tar.gz |
Windows binaries: | r-devel: gsarima_0.1-5.zip, r-release: gsarima_0.1-5.zip, r-oldrel: gsarima_0.1-5.zip |
macOS binaries: | r-release (arm64): gsarima_0.1-5.tgz, r-oldrel (arm64): gsarima_0.1-5.tgz, r-release (x86_64): gsarima_0.1-5.tgz, r-oldrel (x86_64): gsarima_0.1-5.tgz |
Old sources: | gsarima archive |
Reverse imports: | SLBDD |
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