Package: starma 1.3
starma: Modelling Space Time AutoRegressive Moving Average (STARMA) Processes
Statistical functions to identify, estimate and diagnose a Space-Time AutoRegressive Moving Average (STARMA) model.
Authors:
starma_1.3.tar.gz
starma_1.3.zip(r-4.5)starma_1.3.zip(r-4.4)starma_1.3.zip(r-4.3)
starma_1.3.tgz(r-4.5-x86_64)starma_1.3.tgz(r-4.5-arm64)starma_1.3.tgz(r-4.4-x86_64)starma_1.3.tgz(r-4.4-arm64)starma_1.3.tgz(r-4.3-x86_64)starma_1.3.tgz(r-4.3-arm64)
starma_1.3.tar.gz(r-4.5-noble)starma_1.3.tar.gz(r-4.4-noble)
starma_1.3.tgz(r-4.4-emscripten)starma_1.3.tgz(r-4.3-emscripten)
starma.pdf |starma.html✨
starma/json (API)
| # Install 'starma' in R: |
| install.packages('starma', repos = c('https://fcheysson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fcheysson/starma/issues
Last updated 4 years agofrom:2e08ba5e12. Checks:1 OK, 11 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 19 2025 |
| R-4.5-win-x86_64 | NOTE | Mar 19 2025 |
| R-4.5-mac-x86_64 | NOTE | Mar 19 2025 |
| R-4.5-mac-aarch64 | NOTE | Mar 19 2025 |
| R-4.5-linux-x86_64 | NOTE | Mar 19 2025 |
| R-4.4-win-x86_64 | NOTE | Mar 19 2025 |
| R-4.4-mac-x86_64 | NOTE | Mar 19 2025 |
| R-4.4-mac-aarch64 | NOTE | Mar 19 2025 |
| R-4.4-linux-x86_64 | NOTE | Mar 19 2025 |
| R-4.3-win-x86_64 | NOTE | Mar 19 2025 |
| R-4.3-mac-x86_64 | NOTE | Mar 19 2025 |
| R-4.3-mac-aarch64 | NOTE | Mar 19 2025 |
Exports:print.starmaprint.stcor.testprint.summary.starmastacfstacfCPPstarmastarma.defaultstarmaCPPstcenterstcor.teststcor.test.defaultstcovstcovCPPstpacfstpacfCPPstplotsummary.starma
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Space Time AutoRegressive Moving Average (STARMA) modelling for space-time series | starma-package |
| Neighbourhood weight matrices for France's 94 departments | blist dlist klist nb_mat |
| Space-time autocorrelation functions | stacf stpacf |
| Space-time series estimation procedure | print.starma starma starma.default |
| Space-time centering and scaling function | stcenter |
| Space-time series non correlation test | print.stcor.test stcor.test stcor.test.default |
| Space-time covariance function | stcov |
| Plot for space-time series autocorrelation functions | stplot |
| Summary method for space-time series fitted models | print.summary.starma summary.starma |
