Package: gsarima 0.1-5
gsarima: Two Functions for Generalized SARIMA Time Series Simulation
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>.
Authors:
gsarima_0.1-5.tar.gz
gsarima_0.1-5.zip(r-4.5)gsarima_0.1-5.zip(r-4.4)gsarima_0.1-5.zip(r-4.3)
gsarima_0.1-5.tgz(r-4.5-any)gsarima_0.1-5.tgz(r-4.4-any)gsarima_0.1-5.tgz(r-4.3-any)
gsarima_0.1-5.tar.gz(r-4.5-noble)gsarima_0.1-5.tar.gz(r-4.4-noble)
gsarima_0.1-5.tgz(r-4.4-emscripten)gsarima_0.1-5.tgz(r-4.3-emscripten)
gsarima.pdf |gsarima.html✨
gsarima/json (API)
| # Install 'gsarima' in R: |
| install.packages('gsarima', repos = c('https://obriet.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:ae37c36312. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 25 2025 |
| R-4.5-win | OK | Mar 25 2025 |
| R-4.5-mac | OK | Mar 25 2025 |
| R-4.5-linux | OK | Mar 25 2025 |
| R-4.4-win | OK | Mar 25 2025 |
| R-4.4-mac | OK | Mar 25 2025 |
| R-4.4-linux | OK | Mar 25 2025 |
| R-4.3-win | OK | Mar 25 2025 |
| R-4.3-mac | OK | Mar 25 2025 |
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Two Functions for Generalized SARIMA Time Series Simulation | gsarima-package gsarima |
| Compute the Autoregressive Representation of a SARIMA Model | arrep |
| Simulate a Generalized Autoregressive Time Series | garsim |
