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-4.7)gsarima_0.1-5.zip(r-4.6)gsarima_0.1-5.zip(r-4.5)
gsarima_0.1-5.tgz(r-4.6-any)gsarima_0.1-5.tgz(r-4.5-any)
gsarima_0.1-5.tar.gz(r-4.7-any)gsarima_0.1-5.tar.gz(r-4.6-any)
gsarima_0.1-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:ae37c36312. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 104 | ||
| source / vignettes | OK | 180 | ||
| linux-release-x86_64 | OK | 96 | ||
| macos-release-arm64 | OK | 131 | ||
| macos-oldrel-arm64 | OK | 139 | ||
| windows-devel | OK | 98 | ||
| windows-release | OK | 62 | ||
| windows-oldrel | OK | 60 | ||
| wasm-release | OK | 87 |
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 |
